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ORCIDYulan He 0001
何瑜岚
Person information
- affiliation: King's College London, UK
- affiliation: University of Warwick, Coventry, UK
- unicode name: 何瑜岚
Other persons with the same name
- Yulan He 0002 — South China Normal University, Guangzhou, China
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Journal Articles
- 2026
[j78]Jiasheng Si, Yingjie Zhu, Rui Wang, Wenpeng Lu, Yulan He, Deyu Zhou:
Topic-enhanced argument mining via mutual learning. Frontiers Comput. Sci. 20(1): 2001304 (2026)- 2025
- [j77]Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He:
SGRRG: Leveraging radiology scene graphs for improved and abnormality-aware radiology report generation. Comput. Medical Imaging Graph. 125: 102644 (2025) - [j76]Xuan Luo
, Bin Liang, Qianlong Wang, Jing Li, Erik Cambria, Xiaojun Zhang, Yulan He, Min Yang, Ruifeng Xu:
A Literature Survey on Multimodal and Multilingual Sexism Detection. IEEE Trans. Comput. Soc. Syst. 12(5): 3709-3727 (2025) - 2024
- [j75]Stephen H. Barlow, Sugama Chicklore, Yulan He, Sébastien Ourselin, Thomas Wagner, Anna Barnes, Gary J. R. Cook:
Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning. BMC Medical Informatics Decis. Mak. 24(1): 396 (2024) - [j74]Bin Liang, Lin Gui, Yulan He, Erik Cambria, Ruifeng Xu:
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection. IEEE Trans. Affect. Comput. 15(4): 1874-1888 (2024) - [j73]Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He:
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. IEEE J. Biomed. Health Informatics 28(4): 2199-2210 (2024) - [j72]Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, Yulan He:
Explainable Recommender With Geometric Information Bottleneck. IEEE Trans. Knowl. Data Eng. 36(7): 3036-3046 (2024) - 2023
- [j71]Elena Kochkina, Tamanna Hossain, Robert L. Logan IV, Miguel Arana-Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata:
Evaluating the generalisability of neural rumour verification models. Inf. Process. Manag. 60(1): 103116 (2023) - [j70]Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He:
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. Trans. Assoc. Comput. Linguistics 11: 404-418 (2023) - [j69]Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu:
Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14(1): 279-293 (2023) - [j68]Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu:
Few-shot Aspect Category Sentiment Analysis via Meta-learning. ACM Trans. Inf. Syst. 41(1): 22:1-22:31 (2023) - [j67]Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu:
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023) - 2022
- [j66]Hanqi Yan, Lin Gui, Yulan He:
Hierarchical Interpretation of Neural Text Classification. Comput. Linguistics 48(4): 987-1020 (2022) - [j65]Lin Gui, Jia Leng, Jiyun Zhou, Ruifeng Xu, Yulan He:
Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection. IEEE Trans. Knowl. Data Eng. 34(4): 1915-1927 (2022) - 2021
- [j64]Lin Gui, Yulan He:
Understanding patient reviews with minimum supervision. Artif. Intell. Medicine 120: 102160 (2021) - [j63]Linhai Zhang, Chao Lin, Deyu Zhou, Yulan He, Meng Zhang:
A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. Comput. Speech Lang. 66: 101167 (2021) - [j62]Deyu Zhou, Meng Zhang, Yang Yang, Yulan He:
Hierarchical state recurrent neural network for social emotion ranking. Comput. Speech Lang. 68: 101177 (2021) - [j61]Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata:
Citizen Participation and Machine Learning for a Better Democracy. Digit. Gov. Res. Pract. 2(3): 27:1-27:22 (2021) - [j60]Deyu Zhou, Kai Sun, Mingqi Hu, Yulan He:
Image generation from text with entity information fusion. Knowl. Based Syst. 227: 107200 (2021) - [j59]Rilwan A. Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta:
TRU-NET: a deep learning approach to high resolution prediction of rainfall. Mach. Learn. 110(8): 2035-2062 (2021) - 2020
- [j58]Linsen Guo, Deyu Zhou, Yulan He, Haiyang Xu:
Storyline extraction from news articles with dynamic dependency. Intell. Data Anal. 24(1): 183-197 (2020) - [j57]Rui Wang, Deyu Zhou, Yulan He:
Optimising topic coherence with Weighted Po'lya Urn scheme. Neurocomputing 385: 329-339 (2020) - [j56]Lixing Zhu, Yulan He, Deyu Zhou:
Neural opinion dynamics model for the prediction of user-level stance dynamics. Inf. Process. Manag. 57(2): 102031 (2020) - [j55]Lixing Zhu, Deyu Zhou, Yulan He:
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. Trans. Assoc. Comput. Linguistics 8: 471-485 (2020) - [j54]Semiu Salawu, Yulan He, Joanna Lumsden:
Approaches to Automated Detection of Cyberbullying: A Survey. IEEE Trans. Affect. Comput. 11(1): 3-24 (2020) - 2019
- [j53]Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu, Xuan Wang:
Convolution-Based Neural Attention With Applications to Sentiment Classification. IEEE Access 7: 27983-27992 (2019) - [j52]Ruifeng Xu, Jiachen Du, Zhishan Zhao, Yulan He, Qinghong Gao, Lin Gui:
Inferring user profiles in social media by joint modeling of text and networks. Sci. China Inf. Sci. 62(11): 219104:1-219104:3 (2019) - [j51]Lixing Zhu, Yulan He, Deyu Zhou:
Hierarchical viewpoint discovery from tweets using Bayesian modelling. Expert Syst. Appl. 116: 430-438 (2019) - [j50]Gabriele Pergola, Lin Gui, Yulan He:
TDAM: A topic-dependent attention model for sentiment analysis. Inf. Process. Manag. 56(6) (2019) - [j49]Rui Wang, Deyu Zhou, Yulan He:
ATM: Adversarial-neural Topic Model. Inf. Process. Manag. 56(6) (2019) - [j48]Donglei Tang, Zhikai Zhang, Yulan He, Chao Lin, Deyu Zhou:
Hidden topic-emotion transition model for multi-level social emotion detection. Knowl. Based Syst. 164: 426-435 (2019) - [j47]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Trans. Assoc. Comput. Linguistics 7: 267-281 (2019) - [j46]Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen:
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites". IEEE Trans. Knowl. Data Eng. 31(4): 818 (2019) - 2018
- [j45]Deyu Zhou, Lei Miao, Yulan He:
Position-aware deep multi-task learning for drug-drug interaction extraction. Artif. Intell. Medicine 87: 1-8 (2018) - [j44]Deyu Zhou, Zhikai Zhang, Min-Ling Zhang, Yulan He:
Weakly Supervised POS Tagging without Disambiguation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17(4): 35:1-35:19 (2018) - [j43]Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen:
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Trans. Knowl. Data Eng. 30(12): 2271-2284 (2018) - [j42]Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie, Ji-Rong Wen:
Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Trans. Inf. Syst. 36(3): 27:1-27:33 (2018) - 2017
- [j41]Jiyun Zhou, Qin Lu, Ruifeng Xu, Yulan He, Hongpeng Wang:
EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation. BMC Bioinform. 18(1): 379 (2017) - [j40]Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang:
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Expert Syst. Appl. 72: 221-230 (2017) - [j39]Deyu Zhou, Liangyu Chen, Xuan Zhang, Yulan He:
Unsupervised event exploration from social text streams. Intell. Data Anal. 21(4): 849-866 (2017) - [j38]Lin Gui, Yu Zhou, Ruifeng Xu, Yulan He, Qin Lu:
Learning representations from heterogeneous network for sentiment classification of product reviews. Knowl. Based Syst. 124: 34-45 (2017) - 2016
- [j37]Qikang Wei, Tao Chen, Ruifeng Xu, Yulan He, Lin Gui:
Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks. Database J. Biol. Databases Curation 2016 (2016) - [j36]Tao Chen, Ruifeng Xu, Yulan He, Yunqing Xia, Xuan Wang:
Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis. IEEE Comput. Intell. Mag. 11(3): 34-44 (2016) - [j35]Hassan Saif, Yulan He, Miriam Fernández, Harith Alani:
Contextual semantics for sentiment analysis of Twitter. Inf. Process. Manag. 52(1): 5-19 (2016) - [j34]Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, Xiaoming Li:
Exploring demographic information in social media for product recommendation. Knowl. Inf. Syst. 49(1): 61-89 (2016) - [j33]Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li:
Mining Product Adopter Information from Online Reviews for Improving Product Recommendation. ACM Trans. Knowl. Discov. Data 10(3): 29:1-29:23 (2016) - [j32]Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen, Xiaoming Li:
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information. IEEE Trans. Knowl. Data Eng. 28(5): 1147-1159 (2016) - [j31]Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen:
A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. World Wide Web 19(5): 865-886 (2016) - 2015
- [j30]Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang:
A Gloss Composition and Context Clustering Based Distributed Word Sense Representation Model. Entropy 17(9): 6007-6024 (2015) - [j29]Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen, Xiaoming Li:
Incorporating Social Role Theory into Topic Models for Social Media Content Analysis. IEEE Trans. Knowl. Data Eng. 27(4): 1032-1044 (2015) - 2014
- [j28]Deyu Zhou, Dayou Zhong, Yulan He:
Event trigger identification for biomedical events extraction using domain knowledge. Bioinform. 30(11): 1587-1594 (2014) - [j27]Deyu Zhou, Dayou Zhong, Yulan He:
Biomedical Relation Extraction: From Binary to Complex. Comput. Math. Methods Medicine 2014: 298473:1-298473:18 (2014) - [j26]Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li:
Infer User Interests via Link Structure Regularization. ACM Trans. Intell. Syst. Technol. 5(2): 23:1-23:22 (2014) - [j25]Andrea Varga, Amparo Elizabeth Cano Basave, Matthew Rowe, Fabio Ciravegna, Yulan He:
Linked knowledge sources for topic classification of microposts: A semantic graph-based approach. J. Web Semant. 26: 36-57 (2014) - 2013
- [j24]Zhongyu Wei, Yulan He, Simon Buckingham Shum, Rebecca Ferguson, Wei Gao, Kam-Fai Wong:
A Self-Training Framework for Automatic Identification of Exploratory Dialogue. Int. J. Comput. Linguistics Appl. 4(1): 111-126 (2013) - [j23]Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong:
Dynamic joint sentiment-topic model. ACM Trans. Intell. Syst. Technol. 5(1): 6:1-6:21 (2013) - 2012
- [j22]Yulan He:
Incorporating Sentiment Prior Knowledge for Weakly Supervised Sentiment Analysis. ACM Trans. Asian Lang. Inf. Process. 11(2): 4:1-4:19 (2012) - [j21]Chenghua Lin, Yulan He, Richard M. Everson, Stefan M. Rüger:
Weakly Supervised Joint Sentiment-Topic Detection from Text. IEEE Trans. Knowl. Data Eng. 24(6): 1134-1145 (2012) - 2011
- [j20]Deyu Zhou, Yulan He:
Biomedical events extraction using the hidden vector state model. Artif. Intell. Medicine 53(3): 205-213 (2011) - [j19]Yulan He, Deyu Zhou:
Self-training from labeled features for sentiment analysis. Inf. Process. Manag. 47(4): 606-616 (2011) - 2010
- [j18]Ba-Quy Vuong, Yulan He, Siu Cheung Hui:
Towards a web-based progressive handwriting recognition environment for mathematical problem solving. Expert Syst. Appl. 37(1): 886-893 (2010) - [j17]Cathal Gurrin, Yulan He, Udo Kruschwitz, Suzanne Little, Stefan M. Rüger:
ECIR 2010: 32nd european conference on information retrieval research. SIGIR Forum 44(1): 2-18 (2010) - 2009
- [j16]Yulan He, Siu Cheung Hui:
Exploring ant-based algorithms for gene expression data analysis. Artif. Intell. Medicine 47(2): 105-119 (2009) - [j15]Yulan He, Siu Cheung Hui, Thanh Tho Quan:
Automatic summary assessment for intelligent tutoring systems. Comput. Educ. 53(3): 890-899 (2009) - [j14]Deyu Zhou, Yulan He:
Discriminative Training of the Hidden Vector State Model for Semantic Parsing. IEEE Trans. Knowl. Data Eng. 21(1): 66-77 (2009) - 2008
- [j13]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. Int. J. Bioinform. Res. Appl. 4(1): 64-80 (2008) - [j12]Deyu Zhou, Yulan He:
Extracting interactions between proteins from the literature. J. Biomed. Informatics 41(2): 393-407 (2008) - [j11]Ba-Quy Vuong, Siu Cheung Hui, Yulan He:
Progressive structural analysis for dynamic recognition of on-line handwritten mathematical expressions. Pattern Recognit. Lett. 29(5): 647-655 (2008) - [j10]Ba-Quy Vuong, Siu Cheung Hui, Yulan He:
Erratum to "Progressive structural analysis for dynamic recognition of on-line handwritten mathematical expressions" [Pattern Recognition Letters 29 (5) (2008) 647-655]. Pattern Recognit. Lett. 29(9): 1454 (2008) - 2007
- [j9]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. Artif. Intell. Medicine 41(3): 209-222 (2007) - [j8]Suryani Lukman, Yulan He, Siu Cheung Hui:
Computational methods for Traditional Chinese Medicine: A survey. Comput. Methods Programs Biomed. 88(3): 283-294 (2007) - 2006
- [j7]Haichao Dong, Siu Cheung Hui, Yulan He:
Structural analysis of chat messages for topic detection. Online Inf. Rev. 30(5): 496-516 (2006) - [j6]Yulan He, Steve J. Young:
Spoken language understanding using the Hidden Vector State Model. Speech Commun. 48(3-4): 262-275 (2006) - 2005
- [j5]Yulan He, Steve J. Young:
Semantic processing using the Hidden Vector State model. Comput. Speech Lang. 19(1): 85-106 (2005) - 2003
- [j4]Yulan He, Siu Cheung Hui, Alvis Cheuk M. Fong:
Citation-Based Retrieval for Scholarly Publications. IEEE Intell. Syst. 18(2): 58-65 (2003) - 2002
- [j3]Yulan He, Siu Cheung Hui, Alvis Cheuk M. Fong:
Mining a Web Citation Database for Document Clustering. Appl. Artif. Intell. 16(4): 283-302 (2002) - [j2]Yulan He, Siu Cheung Hui:
Mining a Web Citation Database for author co-citation analysis. Inf. Process. Manag. 38(4): 491-508 (2002) - 1997
- [j1]Schubert Foo, Siu Cheung Hui, See Wai Yip, Yulan He:
Approaches for resolving dynamic IP addressing. Internet Res. 7(3): 208-216 (1997)
Conference and Workshop Papers
- 2025
- [c185]Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Yulan He:
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. AAAI 2025: 25228-25236 - [c184]Congzhi Zhang, Linhai Zhang, Jialong Wu, Yulan He, Deyu Zhou:
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. AAAI 2025: 25842-25850 - [c183]Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He:
An Automated Explainable Educational Assessment System Built on LLMs. AAAI 2025: 29658-29660 - [c182]Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Zhuo Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu:
COPR: Continual Human Preference Learning via Optimal Policy Regularization. ACL (Findings) 2025: 5377-5398 - [c181]Jiazheng Li, Hanqi Yan, Yulan He:
Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference. ACL (1) 2025: 6850-6866 - [c180]Linhai Zhang, Ziyang Gao, Deyu Zhou, Yulan He:
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. ACL (Findings) 2025: 9927-9944 - [c179]Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang:
WebWalker: Benchmarking LLMs in Web Traversal. ACL (1) 2025: 10290-10305 - [c178]Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou:
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. ACL (1) 2025: 10775-10790 - [c177]Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He:
PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA. ACL (Findings) 2025: 13317-13335 - [c176]Hainiu Xu, Siya Qi, Jiazheng Li, Yuxiang Zhou, Jinhua Du, Caroline Catmur, Yulan He:
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States. ACL (Findings) 2025: 13598-13622 - [c175]Yanyue Zhang, Yulan He, Deyu Zhou:
Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. ACL (Findings) 2025: 15194-15211 - [c174]Linhai Zhang, Jialong Wu, Deyu Zhou, Yulan He:
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. ACL (1) 2025: 16399-16411 - [c173]Siya Qi, Rui Cao, Yulan He, Zheng Yuan:
Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization. ACL (Findings) 2025: 16480-16503 - [c172]Chiara Di Bonaventura, Barbara McGillivray, Yulan He, Albert Meroño-Peñuela:
Hatevolution: What Static Benchmarks Don't Tell Us. ACL (Findings) 2025: 17695-17707 - [c171]Zhanghao Hu, Hanqi Yan, Qinglin Zhu, Zhenyi Shen, Yulan He, Lin Gui:
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. ACL (1) 2025: 19975-19990 - [c170]John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri, Sebastian Löbbers, Yulan He, Maria Liakata:
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification. ACL (Findings) 2025: 20604-20628 - [c169]Junru Lu, Jiazheng Li, Guodong Shen, Lin Gui, Siyu An, Yulan He, Di Yin, Xing Sun:
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. ACL (Findings) 2025: 21008-21030 - [c168]Yanyue Zhang, Pengfei Li, Yilong Lai, Yulan He, Deyu Zhou:
LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. COLING 2025: 6169-6183 - [c167]Lixing Zhu, Jun Wang, Yulan He:
LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. COLING 2025: 11334-11347 - [c166]Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He:
Cascading Large Language Models for Salient Event Graph Generation. NAACL (Long Papers) 2025: 2223-2245 - 2024
- [c165]Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui:
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. AAAI 2024: 23859-23861 - [c164]Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. ACL (Findings) 2024: 6467-6481 - [c163]Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He:
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. ACL (1) 2024: 7086-7103 - [c162]Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui:
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. ACL (Findings) 2024: 7618-7638 - [c161]Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He:
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. ACL (Findings) 2024: 8324-8340 - [c160]Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He:
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. ACL (1) 2024: 8593-8623 - [c159]Zheng Fang, Yulan He, Rob Procter:
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling. LREC/COLING 2024: 4273-4286 - [c158]John Dougrez-Lewis, Elena Kochkina, Maria Liakata, Yulan He:
Knowledge Graphs for Real-World Rumour Verification. LREC/COLING 2024: 9843-9853 - [c157]Yanyue Zhang, Yilong Lai, Zhenglin Wang, Pengfei Li, Deyu Zhou, Yulan He:
Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods. LREC/COLING 2024: 12496-12513 - [c156]Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui:
NarrativePlay: Interactive Narrative Understanding. EACL (Demonstrations) 2024: 82-93 - [c155]Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He:
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. EACL (2) 2024: 344-357 - [c154]Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, Di Yin, Xing Sun:
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. EMNLP 2024: 1047-1067 - [c153]Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He:
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring. EMNLP (Findings) 2024: 5452-5479 - [c152]Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He:
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. EMNLP 2024: 10423-10435 - [c151]Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. EMNLP 2024: 14365-14378 - [c150]Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He:
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. EMNLP 2024: 14707-14719 - [c149]Zhaoxing Li, Vahid Yazdanpanah, Stefan Sarkadi, Yulan He, Elnaz Shafipour, Sebastian Stein:
Towards Citizen-Centric Multiagent Systems Based on Large Language Models. GoodIT 2024: 26-31 - [c148]Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu:
CPPO: Continual Learning for Reinforcement Learning with Human Feedback. ICLR 2024 - [c147]Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He:
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation. NAACL-HLT 2024: 3872-3892 - [c146]Wenjia Zhang, Lin Gui, Rob Procter, Yulan He:
Multi-Layer Ranking with Large Language Models for News Source Recommendation. SIGIR 2024: 2537-2542 - 2023
- [c145]Lixing Zhu, Runcong Zhao, Gabriele Pergola, Yulan He:
Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions. ACL (Findings) 2023: 1827-1842 - [c144]Xinyu Wang, Lin Gui, Yulan He:
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. ACL (1) 2023: 10118-10133 - [c143]Yulan He:
Interpretable Natural Language Understanding. CIKM 2023: 1-2 - [c142]Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He:
PANACEA: An Automated Misinformation Detection System on COVID-19. EACL (System Demonstrations) 2023: 67-74 - [c141]Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, Rob Procter:
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System. EACL 2023: 505-522 - [c140]Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola:
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. EACL (Findings) 2023: 1049-1061 - [c139]Xingwei Tan, Gabriele Pergola, Yulan He:
Event Temporal Relation Extraction with Bayesian Translational Model. EACL 2023: 1117-1130 - [c138]Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui:
Distinguishability Calibration to In-Context Learning. EACL (Findings) 2023: 1355-1367 - [c137]Jiazheng Li, Lin Gui, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He:
Distilling ChatGPT for Explainable Automated Student Answer Assessment. EMNLP (Findings) 2023: 6007-6026 - [c136]Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He:
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding. EMNLP (Findings) 2023: 10098-10121 - [c135]Yuxiang Zhou, Yulan He:
Causal Inference from Text: Unveiling Interactions between Variables. EMNLP (Findings) 2023: 10559-10571 - [c134]Xinyu Wang, Lin Gui, Yulan He:
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports. EMNLP 2023: 13215-13229 - [c133]Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He:
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. EMNLP 2023: 13377-13392 - [c132]Yukun Zhang, Shengming Yuan, Jingkuan Song, Yixuan Zhou, Lin Zhang, Yulan He:
Towards Boosting Black-Box Attack Via Sharpness-Aware. ICME 2023: 294-299 - [c131]Beitao Chen, Xuanhan Wang, Xiaojia Chen, Yulan He, Jingkuan Song:
EANet: Towards Lightweight Human Pose Estimation With Effective Aggregation Network. ICME 2023: 2639-2644 - [c130]Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang:
Counterfactual Generation with Identifiability Guarantees. NeurIPS 2023 - [c129]Runcong Zhao, Lin Gui, Yulan He:
Cone: Unsupervised Contrastive Opinion Extraction. SIGIR 2023: 1066-1075 - [c128]Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He:
Uncertainty Quantification for Text Classification. SIGIR 2023: 3426-3429 - [c127]Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He:
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. UAI 2023: 1253-1262 - 2022
- [c126]Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu:
JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. ACL (1) 2022: 81-91 - [c125]Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu:
Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. ACL (1) 2022: 1767-1777 - [c124]Jun Wang, Abhir Bhalerao, Yulan He:
Cross-Modal Prototype Driven Network for Radiology Report Generation. ECCV (35) 2022: 563-579 - [c123]Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, Yulan He:
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation. EMNLP (Findings) 2022: 2377-2389 - [c122]Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He:
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. EMNLP 2022: 5571-5587 - [c121]Miguel Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Robert Procter, Yulan He:
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. NAACL-HLT 2022: 1496-1511 - [c120]Lixing Zhu, Zheng Fang, Gabriele Pergola, Robert Procter, Yulan He:
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media. NAACL-HLT 2022: 1566-1580 - [c119]Rilwan Adewoyin, Ritabrata Dutta, Yulan He:
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators. NAACL-HLT 2022: 1822-1835 - [c118]Hanqi Yan, Lin Gui, Wenjie Li, Yulan He:
Addressing token uniformity in transformers via singular value transformation. UAI 2022: 2181-2191 - [c117]Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu:
Zero-Shot Stance Detection via Contrastive Learning. WWW 2022: 2738-2747 - 2021
- [c116]Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang:
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. AAAI 2021: 14420-14427 - [c115]Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He:
A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. AAAI 2021: 14594-14601 - [c114]Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He:
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. ACL/IJCNLP (1) 2021: 1571-1582 - [c113]Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He:
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. ACL/IJCNLP (1) 2021: 1612-1622 - [c112]Zheng Fang, Yulan He, Rob Procter:
A Query-Driven Topic Model. ACL/IJCNLP (Findings) 2021: 1764-1777 - [c111]Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He:
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. ACL/IJCNLP (1) 2021: 3364-3375 - [c110]John Dougrez-Lewis, Maria Liakata, Elena Kochkina, Yulan He:
Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification. ACL/IJCNLP (Findings) 2021: 3902-3908 - [c109]Wenjia Zhang, Lin Gui, Yulan He:
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. CIKM 2021: 3637-3641 - [c108]Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He:
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies. EACL 2021: 1977-1985 - [c107]Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He:
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews. EACL 2021: 2341-2351 - [c106]Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou, Jie Wu:
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. EMNLP (1) 2021: 3162-3171 - [c105]Linhai Zhang, Deyu Zhou, Chao Lin, Yulan He:
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation. EMNLP (Findings) 2021: 4713-4719 - [c104]Deyu Zhou, Jianan Wang, Linhai Zhang, Yulan He:
Implicit Sentiment Analysis with Event-centered Text Representation. EMNLP (1) 2021: 6884-6893 - [c103]Xingwei Tan, Gabriele Pergola, Yulan He:
Extracting Event Temporal Relations via Hyperbolic Geometry. EMNLP (1) 2021: 8065-8077 - [c102]Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He:
A mixed-methods ethnographic approach to participatory budgeting in Scotland. GoodIT 2021: 317-320 - [c101]Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He:
Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland. ICEGOV 2021: 362-366 - [c100]Gabriele Pergola, Lin Gui, Yulan He:
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews. NAACL-HLT 2021: 2870-2883 - [c99]Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu:
Affective Dependency Graph for Sarcasm Detection. SIGIR 2021: 1844-1849 - [c98]Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu:
Target-adaptive Graph for Cross-target Stance Detection. WWW 2021: 3453-3464 - 2020
- [c97]Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu:
Neural Topic Modeling with Bidirectional Adversarial Training. ACL 2020: 340-350 - [c96]Lixing Zhu, Yulan He, Deyu Zhou:
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. ACL 2020: 3804-3810 - [c95]Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu:
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. CIKM 2020: 825-834 - [c94]Semiu Salawu, Yulan He, Jo Lumsden:
BullStop: A Mobile App for Cyberbullying Prevention. COLING (Demonstrations) 2020: 70-74 - [c93]Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He:
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering. COLING 2020: 2547-2560 - [c92]Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis, Tanaya Guha:
Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. ECIR (1) 2020: 50-64 - [c91]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. WWW 2020: 1502-1513 - 2019
- [c90]Mingqi Hu, Deyu Zhou, Yulan He:
Variational Conditional GAN for Fine-grained Controllable Image Generation. ACML 2019: 109-124 - [c89]Yang Yang, Deyu Zhou, Yulan He, Meng Zhang:
Interpretable Relevant Emotion Ranking with Event-Driven Attention. EMNLP/IJCNLP (1) 2019: 177-187 - [c88]Rui Wang, Deyu Zhou, Yulan He:
Open Event Extraction from Online Text using a Generative Adversarial Network. EMNLP/IJCNLP (1) 2019: 282-291 - [c87]Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He:
Neural Topic Model with Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 3476-3481 - 2018
- [c86]Gabriele Pergola, Yulan He, David Lowe:
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. AAAI Workshops 2018: 499-506 - [c85]Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang:
Variational Autoregressive Decoder for Neural Response Generation. EMNLP 2018: 3154-3163 - [c84]Yang Yang, Deyu Zhou, Yulan He:
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. EMNLP 2018: 3423-3432 - [c83]Vishwash Batra, Yulan He, George Vogiatzis:
Neural Caption Generation for News Images. LREC 2018 - [c82]Orizu Udochukwu, Yulan He:
Content-Based Conflict of Interest Detection on Wikipedia. LREC 2018 - [c81]Deyu Zhou, Yang Yang, Yulan He:
Relevant Emotion Ranking from Text Constrained with Emotion Relationships. NAACL-HLT 2018: 561-571 - [c80]Deyu Zhou, Linsen Guo, Yulan He:
Neural Storyline Extraction Model for Storyline Generation from News Articles. NAACL-HLT 2018: 1727-1736 - [c79]Lin Gui, Jiachen Du, Zhishan Zhao, Yulan He, Ruifeng Xu, Chuang Fan:
An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning. NLPCC (2) 2018: 288-298 - 2017
- [c78]Deyu Zhou, Xuan Zhang, Yulan He:
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings. EACL (1) 2017: 808-817 - [c77]David Vilares, Yulan He:
Detecting Perspectives in Political Debates. EMNLP 2017: 1573-1582 - [c76]Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du:
A Question Answering Approach for Emotion Cause Extraction. EMNLP 2017: 1593-1602 - [c75]Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui:
Stance Classification with Target-specific Neural Attention. IJCAI 2017: 3988-3994 - [c74]Jiachen Du, Lin Gui, Ruifeng Xu, Yulan He:
A Convolutional Attention Model for Text Classification. NLPCC 2017: 183-195 - [c73]Qinghong Gao, Jiannan Hu, Ruifeng Xu, Lin Gui, Yulan He, Kam-Fai Wong, Qin Lu:
Overview of NTCIR-13 ECA Task. NTCIR 2017 - [c72]Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu:
A convolutional attentional neural network for sentiment classification. SPAC 2017: 445-450 - 2016
- [c71]Yulan He:
Extracting Topical Phrases from Clinical Documents. AAAI 2016: 2957-2963 - [c70]Jing Li, Ming Liao, Wei Gao, Yulan He, Kam-Fai Wong:
Topic Extraction from Microblog Posts Using Conversation Structures. ACL (1) 2016 - [c69]Deyu Zhou, Tianmeng Gao, Yulan He:
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. ACL (1) 2016 - [c68]Trung Huynh, Yulan He, Alistair Willis, Stefan M. Rüger:
Adverse Drug Reaction Classification With Deep Neural Networks. COLING 2016: 877-887 - [c67]Mehryar Emambakhsh, Yulan He, Ian T. Nabney:
Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach. DAS 2016: 399-404 - [c66]Lin Gui, Ruifeng Xu, Yulan He, Qin Lu, Zhongyu Wei:
Intersubjectivity and Sentiment: From Language to Knowledge. IJCAI 2016: 2789-2795 - [c65]Deyu Zhou, Haiyang Xu, Xin-Yu Dai, Yulan He:
Unsupervised Storyline Extraction from News Articles. IJCAI 2016: 3014-3021 - [c64]Orizu Udochukwu, Yulan He:
Detecting Expressions of Blame or Praise in Text. LREC 2016 - [c63]Amparo Elizabeth Cano Basave, Yulan He:
A Study of the Impact of Persuasive Argumentation in Political Debates. HLT-NAACL 2016: 1405-1413 - 2015
- [c62]Deyu Zhou, Liangyu Chen, Yulan He:
An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization. AAAI 2015: 2468-2475 - [c61]Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang:
Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering. ACL (2) 2015: 15-20 - [c60]Trung Huynh, Yulan He, Stefan M. Rüger:
Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis. ECIR 2015: 447-452 - [c59]Deyu Zhou, Haiyang Xu, Yulan He:
An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. EMNLP 2015: 1943-1948 - [c58]Grégoire Burel, Paul Mulholland, Yulan He, Harith Alani:
Predicting Answering Behaviour in Online Question Answering Communities. HT 2015: 201-210 - [c57]Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang:
Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural Network. ICONIP (1) 2015: 467-475 - [c56]Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li:
Leveraging Product Adopter Information from Online Reviews for Product Recommendation. ICWSM 2015: 464-472 - [c55]Orizu Udochukwu, Yulan He:
A Rule-Based Approach to Implicit Emotion Detection in Text. NLDB 2015: 197-203 - [c54]Grégoire Burel, Paul Mulholland, Yulan He, Harith Alani:
Modelling Question Selection Behaviour in Online Communities. WWW (Companion Volume) 2015: 357-358 - 2014
- [c53]Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lünen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien:
Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. ACL (System Demonstrations) 2014: 37-42 - [c52]Amparo Elizabeth Cano Basave, Yulan He, Ruifeng Xu:
Automatic Labelling of Topic Models Learned from Twitter by Summarisation. ACL (2) 2014: 618-624 - [c51]Deyu Zhou, Liangyu Chen, Yulan He:
A Simple Bayesian Modelling Approach to Event Extraction from Twitter. ACL (2) 2014: 700-705 - [c50]Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen:
A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. ASONAM 2014: 460-463 - [c49]Hassan Saif, Yulan He, Miriam Fernández, Harith Alani:
Adapting Sentiment Lexicons using Contextual Semantics for Twitter Sentiment Analysis. SSA-SMILE@ESWC 2014: 5-12 - [c48]Hassan Saif, Yulan He, Miriam Fernández, Harith Alani:
Adapting Sentiment Lexicons Using Contextual Semantics for Sentiment Analysis of Twitter. ESWC (Satellite Events) 2014: 54-63 - [c47]Hassan Saif, Miriam Fernández, Yulan He, Harith Alani:
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twitter. ESWC 2014: 83-98 - [c46]Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li:
We know what you want to buy: a demographic-based system for product recommendation on microblogs. KDD 2014: 1935-1944 - [c45]Hassan Saif, Miriam Fernández, Yulan He, Harith Alani:
On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter. LREC 2014: 810-817 - [c44]Hassan Saif, Yulan He, Miriam Fernández, Harith Alani:
Semantic Patterns for Sentiment Analysis of Twitter. ISWC (2) 2014: 324-340 - [c43]Amparo Elizabeth Cano, Yulan He, Harith Alani:
Stretching the Life of Twitter Classifiers with Time-Stamped Semantic Graphs. ISWC (2) 2014: 341-357 - [c42]Amparo Elizabeth Cano, Yulan He, Harith Alani:
The Topics they are a-Changing - Characterising Topics with Time-Stamped Semantic Graphs. ISWC (Posters & Demos) 2014: 409-412 - [c41]Grégoire Burel, Yulan He:
Quantising contribution effort in online communities. WWW (Companion Volume) 2014: 549-550 - 2013
- [c40]Zhongyu Wei, Junwen Chen, Wei Gao, Binyang Li, Lanjun Zhou, Yulan He, Kam-Fai Wong:
An Empirical Study on Uncertainty Identification in Social Media Context. ACL (2) 2013: 58-62 - [c39]Hassan Saif, Miriam Fernández, Yulan He, Harith Alani:
Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold. ESSEM@AI*IA 2013: 9-21 - [c38]Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Xiaoming Li:
Originator or propagator?: incorporating social role theory into topic models for twitter content analysis. CIKM 2013: 1649-1654 - [c37]Grégoire Burel, Yulan He:
A question of complexity: measuring the maturity of online enquiry communities. HT 2013: 1-10 - [c36]Amparo Elizabeth Cano, Andrea Varga, Matthew Rowe, Fabio Ciravegna, Yulan He:
Harnessing linked knowledge sources for topic classification in social media. HT 2013: 41-50 - [c35]Zhongyu Wei, Yulan He, Wei Gao, Binyang Li, Lanjun Zhou, Kam-Fai Wong:
Mainstream media behavior analysis on Twitter: a case study on UK general election. HT 2013: 174-178 - [c34]Amparo Elizabeth Cano Basave, Yulan He, Kang Liu, Jun Zhao:
A Weakly Supervised Bayesian Model for Violence Detection in Social Media. IJCNLP 2013: 109-117 - [c33]Rebecca Ferguson, Zhongyu Wei, Yulan He, Simon Buckingham Shum:
An evaluation of learning analytics to identify exploratory dialogue in online discussions. LAK 2013: 85-93 - [c32]Wayne Xin Zhao, Yanwei Guo, Rui Yan, Yulan He, Xiaoming Li:
Timeline generation with social attention. SIGIR 2013: 1061-1064 - 2012
- [c31]Grégoire Burel, Yulan He, Harith Alani:
Automatic Identification of Best Answers in Online Enquiry Communities. ESWC 2012: 514-529 - [c30]Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong:
Tracking Sentiment and Topic Dynamics from Social Media. ICWSM 2012 - [c29]Yulan He, Hassan Saif, Zhongyu Wei, Kam-Fai Wong:
Quantising Opinions for Political Tweets Analysis. LREC 2012: 3901-3906 - [c28]Hassan Saif, Yulan He, Harith Alani:
Alleviating Data Sparsity for Twitter Sentiment Analysis. #MSM 2012: 2-9 - [c27]Chenghua Lin, Yulan He, Carlos Pedrinaci, John Domingue:
Feature LDA: A Supervised Topic Model for Automatic Detection of Web API Documentations from the Web. ISWC (1) 2012: 328-343 - [c26]Hassan Saif, Yulan He, Harith Alani:
Semantic Sentiment Analysis of Twitter. ISWC (1) 2012: 508-524 - [c25]Yulan He, Chenghua Lin, Amparo Elizabeth Cano:
Online Sentiment and Topic Dynamics Tracking over the Streaming Data. SocialCom/PASSAT 2012: 258-266 - 2011
- [c24]Yulan He, Chenghua Lin, Harith Alani:
Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification. ACL 2011: 123-131 - [c23]Deyu Zhou, Yulan He:
A novel framework of training hidden markov support vector machines from lightly-annotated data. CIKM 2011: 2025-2028 - [c22]Yulan He:
Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification. ECIR 2011: 214-225 - [c21]Deyu Zhou, Yulan He:
Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding. ECIR 2011: 283-288 - [c20]Chenghua Lin, Yulan He, Richard M. Everson:
Sentence Subjectivity Detection with Weakly-Supervised Learning. IJCNLP 2011: 1153-1161 - [c19]Deyu Zhou, Yulan He:
Semantic Parsing for Biomedical Event Extraction. IWCS 2011 - [c18]Claudia Wagner, Markus Strohmaier, Yulan He:
Pragmatic Metadata Matters: How Data about the Usage of Data Effects Semantic User Models. SDoW@ISWC 2011 - 2010
- [c17]Yulan He, Harith Alani, Deyu Zhou:
Exploring English Lexicon Knowledge for Chinese Sentiment Analysis. CIPS-SIGHAN 2010 - [c16]Yulan He:
Learning sentiment classification model from labeled features. CIKM 2010: 1685-1688 - [c15]Chenghua Lin, Yulan He, Richard M. Everson:
A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. CoNLL 2010: 144-152 - [c14]Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen:
Recent Developments in Information Retrieval. ECIR 2010: 1-9 - [c13]Yulan He:
Goal Detection from Natural Language Queries. NLDB 2010: 157-168 - 2009
- [c12]Chenghua Lin, Yulan He:
Joint sentiment/topic model for sentiment analysis. CIKM 2009: 375-384 - [c11]Yulan He, Chenghua Lin:
Protein-Protein Interactions Classification from Text via Local Learning with Class Priors. NLDB 2009: 182-191 - 2008
- [c10]Deyu Zhou, Yulan He:
Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model. BioNLP 2008: 98-99 - [c9]Deyu Zhou, Yulan He:
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus. COLING 2008: 1113-1120 - [c8]Yulan He, Keiichi Nakata, Deyu Zhou:
Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model. ICDM Workshops 2008: 736-743 - 2007
- [c7]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. CIDM 2007: 674-680 - [c6]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Training the Hidden Vector State Model from Un-annotated Corpus. International Conference on Computational Science (2) 2007: 378-385 - [c5]Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang:
Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. PRIB 2007: 198-205 - 2006
- [c4]Yulan He, Siu Cheung Hui, Yongxiang Sim:
A Novel Ant-Based Clustering Approach for Document Clustering. AIRS 2006: 537-544 - [c3]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. International Conference on Computational Science (2) 2006: 718-725 - 2005
- [c2]Yulan He, Siu Cheung Hui, Edmund Ming-Kit Lai:
Automatic Timetabling Using Artificial Immune System. AAIM 2005: 55-65 - 2003
- [c1]Yulan He, Steve J. Young:
Hidden vector state model for hierarchical semantic parsing. ICASSP (1) 2003: 268-271
Parts in Books or Collections
- 2008
- [p1]Deyu Zhou, Yulan He, Chee Keong Kwoh:
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions. Computational Intelligence in Biomedicine and Bioinformatics 2008: 397-421
Editorship
- 2025
- [e13]Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian:
Chinese Computational Linguistics - 23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024, Proceedings. Lecture Notes in Computer Science 14761, Springer 2025, ISBN 978-981-97-8366-3 [contents] - 2024
- [e12]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14608, Springer 2024, ISBN 978-3-031-56026-2 [contents] - [e11]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14609, Springer 2024, ISBN 978-3-031-56059-0 [contents] - [e10]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14610, Springer 2024, ISBN 978-3-031-56062-0 [contents] - [e9]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14611, Springer 2024, ISBN 978-3-031-56065-1 [contents] - [e8]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14612, Springer 2024, ISBN 978-3-031-56068-2 [contents] - [e7]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14613, Springer 2024, ISBN 978-3-031-56071-2 [contents] - 2022
- [e6]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e5]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - 2020
- [e3]Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-60-6 [contents] - [e2]Trevor Cohn, Yulan He, Yang Liu:
Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020. Findings of ACL EMNLP 2020, Association for Computational Linguistics 2020, ISBN 978-1-952148-90-3 [contents] - 2010
- [e1]Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen:
Advances in Information Retrieval, 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010. Proceedings. Lecture Notes in Computer Science 5993, Springer 2010, ISBN 978-3-642-12274-3 [contents]
Reference Works
- 2018
- [r2]Noor Fazilla Abd Yusof, Chenghua Lin, Yulan He:
Sentiment Analysis in Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2014
- [r1]Chenghua Lin, Yulan He:
Sentiment Analysis in Social Media. Encyclopedia of Social Network Analysis and Mining 2014: 1688-1699
Data and Artifacts
- 2024
- [d4]Wenjia Zhang, Lin Gui, Rob Procter, Yulan He:
NewsQuote Dataset: Quote-Speaker Pairs from New Articles. Zenodo, 2024
- 2022
- [d3]Miguel Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He:
PANACEA dataset - Heterogeneous COVID-19 Claims. Zenodo, 2022 - [d2]Lin Gui, Yulan He:
Understanding patient reviews with minimum supervision. Zenodo, 2022 - 2021
- [d1]Wenjia Zhang, Lin Gui, Yulan He:
Code for CIKM Short Paper "Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic". Zenodo, 2021
Informal and Other Publications
- 2025
- [i119]Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang:
WebWalker: Benchmarking LLMs in Web Traversal. CoRR abs/2501.07572 (2025) - [i118]Junru Lu, Jiazheng Li, Guodong Shen, Lin Gui, Siyu An, Yulan He, Di Yin, Xing Sun:
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. CoRR abs/2502.11387 (2025) - [i117]Atsushi Suzuki, Yulan He, Feng Tian, Zhongyuan Wang:
Hallucinations are inevitable but statistically negligible. CoRR abs/2502.12187 (2025) - [i116]Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou:
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. CoRR abs/2502.13361 (2025) - [i115]Hanqi Yan, Xiangxiang Cui, Lu Yin, Paul Pu Liang, Yulan He, Yifei Wang:
The Multi-Faceted Monosemanticity in Multimodal Representations. CoRR abs/2502.14888 (2025) - [i114]Jiazheng Li, Yuxiang Zhou, Junru Lu, Gladys Tyen, Lin Gui, Cesare Aloisi, Yulan He:
Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time. CoRR abs/2502.19230 (2025) - [i113]Zhenyi Shen, Hanqi Yan, Linhai Zhang, Zhanghao Hu, Yali Du, Yulan He:
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. CoRR abs/2502.21074 (2025) - [i112]Yanyue Zhang, Yulan He, Deyu Zhou:
Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. CoRR abs/2503.00449 (2025) - [i111]Linhai Zhang, Jialong Wu, Deyu Zhou, Yulan He:
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. CoRR abs/2503.01303 (2025) - [i110]Linhai Zhang, Ziyang Gao, Deyu Zhou, Yulan He:
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. CoRR abs/2503.01315 (2025) - [i109]Zhanghao Hu, Hanqi Yan, Qingling Zhu, Zhenyi Shen, Yulan He, Lin Gui:
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. CoRR abs/2503.01606 (2025) - [i108]Siya Qi, Rui Cao, Yulan He, Zheng Yuan:
Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization. CoRR abs/2503.01670 (2025) - [i107]Hainiu Xu, Siya Qi, Jiazheng Li, Yuxiang Zhou, Jinhua Du, Caroline Catmur, Yulan He:
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States. CoRR abs/2503.03340 (2025) - [i106]Yuxiang Zhou, Hainiu Xu, Desmond C. Ong, Petr Slovák, Yulan He:
Modeling Subjectivity in Cognitive Appraisal with Language Models. CoRR abs/2503.11381 (2025) - [i105]Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He:
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers. CoRR abs/2504.00255 (2025) - [i104]Wei Liu, Siya Qi, Xinyu Wang, Chen Qian, Yali Du, Yulan He:
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning. CoRR abs/2505.16022 (2025) - [i103]Runcong Zhao, Chengyu Cao, Qinglin Zhu, Xiucheng Lv, Shun Shao, Lin Gui, Ruifeng Xu, Yulan He:
Sparse Activation Editing for Reliable Instruction Following in Narratives. CoRR abs/2505.16505 (2025) - [i102]Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui:
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. CoRR abs/2505.24688 (2025) - [i101]Jun Wang, Lixing Zhu, Xiaohan Yu, Abhir Bhalerao, Yulan He:
Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration. CoRR abs/2506.10573 (2025) - [i100]Jack Contro, Simrat Deol, Yulan He, Martim Brandão:
ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviour. CoRR abs/2506.12090 (2025) - [i99]Chiara Di Bonaventura, Barbara McGillivray, Yulan He, Albert Meroño-Peñuela:
Hatevolution: What Static Benchmarks Don't Tell Us. CoRR abs/2506.12148 (2025) - [i98]Bohao Yang, Hainiu Xu, Jinhua Du, Ze Li, Yulan He, Chenghua Lin:
EvolvTrip: Enhancing Literary Character Understanding with Temporal Theory-of-Mind Graphs. CoRR abs/2506.13641 (2025) - [i97]Runcong Zhao, Qinglin Zhu, Hainiu Xu, Bin Liang, Lin Gui, Yulan He:
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding. CoRR abs/2507.04189 (2025) - [i96]Runcong Zhao, Artem Bobrov, Jiazheng Li, Yulan He:
LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop. CoRR abs/2507.04295 (2025) - [i95]Zhanghao Hu, Qinglin Zhu, Siya Qi, Yulan He, Hanqi Yan, Lin Gui:
Spectrum Projection Score: Aligning Retrieved Summaries with Reader Models in Retrieval-Augmented Generation. CoRR abs/2508.05909 (2025) - [i94]Hanqi Yan, Hainiu Xu, Siya Qi, Shu Yang, Yulan He:
When Thinking Backfires: Mechanistic Insights Into Reasoning-Induced Misalignment. CoRR abs/2509.00544 (2025) - [i93]Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gaël Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill W. Campbell, Mennatallah El-Assady, Søren Hauberg, Ivana Dusparic, Neil D. Lawrence:
Beyond Quantification: Navigating Uncertainty in Professional AI Systems. CoRR abs/2509.03271 (2025) - [i92]Qinglin Zhu, Yizhen Yao, Runcong Zhao, Yanzheng Xiang, Amrutha Saseendran, Chen Jin, Philip Teare, Bin Liang, Yulan He, Lin Gui:
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States. CoRR abs/2510.11052 (2025) - [i91]Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He:
GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery. CoRR abs/2510.15706 (2025) - 2024
- [i90]Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He:
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. CoRR abs/2402.06044 (2024) - [i89]John Dougrez-Lewis, Mahmud Elahi Akhter, Yulan He, Maria Liakata:
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification. CoRR abs/2402.10735 (2024) - [i88]Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui:
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. CoRR abs/2402.11051 (2024) - [i87]Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun:
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. CoRR abs/2402.11811 (2024) - [i86]Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He:
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. CoRR abs/2402.14522 (2024) - [i85]Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He:
Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. CoRR abs/2402.14963 (2024) - [i84]Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang:
Counterfactual Generation with Identifiability Guarantees. CoRR abs/2402.15309 (2024) - [i83]Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. CoRR abs/2402.15637 (2024) - [i82]Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He:
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. CoRR abs/2402.15663 (2024) - [i81]Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He:
Scene Graph Aided Radiology Report Generation. CoRR abs/2403.05687 (2024) - [i80]Yanyue Zhang, Pengfei Li, Yilong Lai, Deyu Zhou, Yulan He:
Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. CoRR abs/2403.07693 (2024) - [i79]Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He:
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation. CoRR abs/2404.01532 (2024) - [i78]Siya Qi, Yulan He, Zheng Yuan:
Can We Catch the Elephant? The Evolvement of Hallucination Evaluation on Natural Language Generation: A Survey. CoRR abs/2404.12041 (2024) - [i77]Qinglin Zhu, Runcong Zhao, Jinhua Du, Lin Gui, Yulan He:
PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games. CoRR abs/2404.17662 (2024) - [i76]Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, Di Yin, Xing Sun:
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. CoRR abs/2406.10957 (2024) - [i75]Wenjia Zhang, Lin Gui, Rob Procter, Yulan He:
Multi-Layer Ranking with Large Language Models for News Source Recommendation. CoRR abs/2406.11745 (2024) - [i74]Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He:
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. CoRR abs/2406.17969 (2024) - [i73]Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He:
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. CoRR abs/2406.18245 (2024) - [i72]Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He:
Cascading Large Language Models for Salient Event Graph Generation. CoRR abs/2406.18449 (2024) - [i71]Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He:
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring. CoRR abs/2406.19949 (2024) - [i70]Artem Bobrov, Domantas Saltenis, Zhaoyue Sun, Gabriele Pergola, Yulan He:
DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information. CoRR abs/2407.01585 (2024) - [i69]Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Yulan He:
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. CoRR abs/2409.05592 (2024) - [i68]Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He:
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA. CoRR abs/2410.04790 (2024) - [i67]Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He:
AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment. CoRR abs/2410.09507 (2024) - [i66]Jialin Yu, Yuxiang Zhou, Yulan He, Nevin L. Zhang, Ricardo Silva:
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning. CoRR abs/2410.14375 (2024) - [i65]Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang:
Direct Preference Optimization Using Sparse Feature-Level Constraints. CoRR abs/2411.07618 (2024) - [i64]Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He:
An Automated Explainable Educational Assessment System Built on LLMs. CoRR abs/2412.13381 (2024) - [i63]Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou:
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. CoRR abs/2412.13649 (2024) - 2023
- [i62]Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He:
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. CoRR abs/2301.07183 (2023) - [i61]Xingwei Tan, Gabriele Pergola, Yulan He:
Event Temporal Relation Extraction with Bayesian Translational Model. CoRR abs/2302.04985 (2023) - [i60]Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola:
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. CoRR abs/2302.05574 (2023) - [i59]Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui:
Distinguishability Calibration to In-Context Learning. CoRR abs/2302.06198 (2023) - [i58]Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He:
PANACEA: An Automated Misinformation Detection System on COVID-19. CoRR abs/2303.01241 (2023) - [i57]Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, Rob Procter:
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System. CoRR abs/2304.01774 (2023) - [i56]Rob Procter, Miguel Arana-Catania, Yulan He, Maria Liakata, Arkaitz Zubiaga, Elena Kochkina, Runcong Zhao:
Some Observations on Fact-Checking Work with Implications for Computational Support. CoRR abs/2305.02224 (2023) - [i55]Junru Lu, Gabriele Pergola, Lin Gui, Yulan He:
Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering. CoRR abs/2305.04522 (2023) - [i54]Runcong Zhao, Lin Gui, Yulan He:
Cone: Unsupervised Contrastive Opinion Extraction. CoRR abs/2305.04599 (2023) - [i53]Wenjia Zhang, Lin Gui, Rob Procter, Yulan He:
NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking. CoRR abs/2305.04825 (2023) - [i52]Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, Yulan He:
Explainable Recommender with Geometric Information Bottleneck. CoRR abs/2305.05331 (2023) - [i51]Jiazheng Li, Lin Gui, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He:
Distilling ChatGPT for Explainable Automated Student Answer Assessment. CoRR abs/2305.12962 (2023) - [i50]Jiazheng Li, Runcong Zhao, Yulan He, Lin Gui:
OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach. CoRR abs/2305.14973 (2023) - [i49]Xinyu Wang, Lin Gui, Yulan He:
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. CoRR abs/2305.18926 (2023) - [i48]Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He:
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. CoRR abs/2306.03598 (2023) - [i47]Jiasheng Si, Yingjie Zhu, Xingyu Shi, Deyu Zhou, Yulan He:
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources. CoRR abs/2307.12131 (2023) - [i46]Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, Yunsheng Wu:
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation. CoRR abs/2308.08239 (2023) - [i45]Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He:
Can Prompt Learning Benefit Radiology Report Generation? CoRR abs/2308.16269 (2023) - [i44]Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui:
NarrativePlay: Interactive Narrative Understanding. CoRR abs/2310.01459 (2023) - [i43]Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He:
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. CoRR abs/2310.14508 (2023) - [i42]Xinyu Wang, Lin Gui, Yulan He:
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports. CoRR abs/2310.18073 (2023) - [i41]Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He:
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding. CoRR abs/2310.18783 (2023) - [i40]Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities. CoRR abs/2311.00237 (2023) - [i39]Yuxiang Zhou, Yulan He:
Causal Inference from Text: Unveiling Interactions between Variables. CoRR abs/2311.05286 (2023) - 2022
- [i38]Hanqi Yan, Lin Gui, Yulan He:
Hierarchical Interpretation of Neural Text Classification. CoRR abs/2202.09792 (2022) - [i37]Miguel Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He:
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. CoRR abs/2205.02596 (2022) - [i36]Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He:
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media. CoRR abs/2205.03296 (2022) - [i35]Rilwan A. Adewoyin, Ritabrata Dutta, Yulan He:
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators. CoRR abs/2205.12590 (2022) - [i34]Jun Wang, Abhir Bhalerao, Yulan He:
Cross-modal Prototype Driven Network for Radiology Report Generation. CoRR abs/2207.04818 (2022) - [i33]John Dougrez-Lewis, Elena Kochkina, Miguel Arana-Catania, Maria Liakata, Yulan He:
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence. CoRR abs/2207.13970 (2022) - [i32]Hanqi Yan, Lin Gui, Wenjie Li, Yulan He:
Addressing Token Uniformity in Transformers via Singular Value Transformation. CoRR abs/2208.11790 (2022) - [i31]Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He, Qifan Wang, Chuanyi Liu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. CoRR abs/2210.05261 (2022) - [i30]Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He:
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. CoRR abs/2210.12560 (2022) - [i29]Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, Yulan He:
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation. CoRR abs/2210.12902 (2022) - [i28]Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He:
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. CoRR abs/2211.01412 (2022) - 2021
- [i27]Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He:
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews. CoRR abs/2101.10150 (2021) - [i26]Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He:
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies. CoRR abs/2102.08366 (2021) - [i25]Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata:
Citizen Participation and Machine Learning for a Better Democracy. CoRR abs/2103.00508 (2021) - [i24]Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia:
Code Structure Guided Transformer for Source Code Summarization. CoRR abs/2104.09340 (2021) - [i23]Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He:
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. CoRR abs/2106.01071 (2021) - [i22]Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He:
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. CoRR abs/2106.01191 (2021) - [i21]Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He:
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. CoRR abs/2106.03518 (2021) - [i20]Zheng Fang, Yulan He, Rob Procter:
A Query-Driven Topic Model. CoRR abs/2106.07346 (2021) - [i19]Wenjia Zhang, Lin Gui, Yulan He:
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. CoRR abs/2109.01850 (2021) - [i18]Xingwei Tan, Gabriele Pergola, Yulan He:
Extracting Event Temporal Relations via Hyperbolic Geometry. CoRR abs/2109.05527 (2021) - [i17]Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He:
A mixed-methods ethnographic approach to participatory budgeting in Scotland. CoRR abs/2109.09517 (2021) - [i16]Miguel Arana-Catania, Rob Procter, Yulan He, Maria Liakata:
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes. CoRR abs/2110.05847 (2021) - [i15]Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He:
Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland. CoRR abs/2111.11766 (2021) - 2020
- [i14]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. CoRR abs/2002.03536 (2020) - [i13]Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu:
Neural Topic Modeling with Bidirectional Adversarial Training. CoRR abs/2004.12331 (2020) - [i12]Lixing Zhu, Yulan He, Deyu Zhou:
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. CoRR abs/2005.13486 (2020) - [i11]Lixing Zhu, Yulan He, Deyu Zhou:
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. CoRR abs/2008.04702 (2020) - [i10]Rilwan Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta:
TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall. CoRR abs/2008.09090 (2020) - [i9]Gabriele Pergola, Lin Gui, Yulan He:
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews. CoRR abs/2010.11384 (2020) - [i8]Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He:
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering. CoRR abs/2011.00519 (2020) - 2019
- [i7]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. CoRR abs/1903.07319 (2019) - [i6]Gabriele Pergola, Lin Gui, Yulan He:
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis. CoRR abs/1908.06435 (2019) - [i5]Rui Wang, Deyu Zhou, Yulan He:
Open Event Extraction from Online Text using a Generative Adversarial Network. CoRR abs/1908.09246 (2019) - [i4]Mingqi Hu, Deyu Zhou, Yulan He:
Variational Conditional GAN for Fine-grained Controllable Image Generation. CoRR abs/1909.09979 (2019) - [i3]Gabriele Pergola, Yulan He, David Lowe:
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. CoRR abs/1911.10180 (2019) - 2018
- [i2]Rui Wang, Deyu Zhou, Yulan He:
ATM: Adversarial-neural Topic Model. CoRR abs/1811.00265 (2018) - 2017
- [i1]Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du:
A Question Answering Approach to Emotion Cause Extraction. CoRR abs/1708.05482 (2017)
Coauthor Index
Amparo Elizabeth Cano
aka: Amparo Elizabeth Cano Basave
aka: Amparo Elizabeth Cano Basave
[j74] [j72] [j70] [j69] [j68] [j66] [j65] [j64] [j53] [j52] [j50] [j38] [j37] [c182] [c177] [c171] [c169] [c165] [c164] [c163] [c162] [c161] [c156] [c152] [c151] [c150] [c148] [c146] [c144] [c142] [c138] [c137] [c136] [c134] [c130] [c129] [c128] [c127] [c126] [c125] [c123] [c118] [c117] [c114] [c111] [c109] [c108] [c107] [c100] [c99] [c98] [c95] [c93] [c87] [c79] [c76] [c75] [c74] [c73] [c72] [c66] [d4] [d2] [d1] [i118] [i114] [i109] [i105] [i103] [i102] [i97] [i95] [i92] [i91] [i88] [i86] [i85] [i84] [i83] [i77] [i75] [i74] [i73] [i68] [i62] [i59] [i58] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i44] [i42] [i41] [i40] [i38] [i32] [i29] [i27] [i26] [i23] [i21] [i19] [i9] [i8] [i6] [i1]
Rob Procter
aka: Robert Procter
aka: Robert Procter
[j78] [j63] [j62] [j60] [j58] [j57] [j56] [j55] [j51] [j49] [j48] [j45] [j44] [j39] [j28] [j27] [j20] [j19] [j14] [j13] [j12] [j9] [c184] [c180] [c179] [c178] [c175] [c174] [c168] [c157] [c133] [c116] [c115] [c114] [c113] [c106] [c105] [c104] [c97] [c96] [c90] [c89] [c88] [c84] [c81] [c80] [c78] [c69] [c65] [c62] [c59] [c51] [c23] [c21] [c19] [c17] [c10] [c9] [c8] [c7] [c6] [c5] [c3] [p1] [i119] [i116] [i112] [i111] [i110] [i80] [i63] [i47] [i43] [i23] [i22] [i13] [i12] [i11] [i5] [i4] [i2]
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