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- affiliation: National University of Singapore (NUS)
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2020 – today
- 2023
[c165]Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang:
Songs Across Borders: Singable and Controllable Neural Lyric Translation. ACL (1) 2023: 447-467- [c164]Ibrahim Taha Aksu, Min-Yen Kan, Nancy F. Chen:
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation. ACL (1) 2023: 4588-4603 - [c163]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) 2023: 6981-7004 - [c162]Hengchang Hu
, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CIKM 2023: 843-853 - [c161]Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria:
UDAPTER - Efficient Domain Adaptation Using Adapters. EACL 2023: 2241-2255 - [c160]Keng Ji Chow, Samson Tan, Min-Yen Kan:
TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning. EACL 2023: 3314-3339 - [c159]Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. SIGIR-AP 2023: 245-252 - [i74]Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. CoRR abs/2301.01067 (2023) - [i73]Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria:
UDApter - Efficient Domain Adaptation Using Adapters. CoRR abs/2302.03194 (2023) - [i72]Xinyuan Lu, Min-Yen Kan:
Improving Recommendation Systems with User Personality Inferred from Product Reviews. CoRR abs/2303.05039 (2023) - [i71]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie:
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR abs/2305.00633 (2023) - [i70]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR abs/2305.12744 (2023) - [i69]Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR abs/2305.13186 (2023) - [i68]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. CoRR abs/2305.13661 (2023) - [i67]Yuxi Xie, Guanzhen Li, Min-Yen Kan:
ECHo: Event Causality Inference via Human-centric Reasoning. CoRR abs/2305.14740 (2023) - [i66]Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan:
The ACL OCL Corpus: advancing Open science in Computational Linguistics. CoRR abs/2305.14996 (2023) - [i65]Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang:
Songs Across Borders: Singable and Controllable Neural Lyric Translation. CoRR abs/2305.16816 (2023) - [i64]Taha Aksu, Min-Yen Kan, Nancy F. Chen:
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation. CoRR abs/2306.04724 (2023) - [i63]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering. CoRR abs/2307.04192 (2023) - [i62]Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization. CoRR abs/2308.03275 (2023) - [i61]Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CoRR abs/2308.15980 (2023) - [i60]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR abs/2309.05007 (2023) - [i59]Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li:
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems. CoRR abs/2309.07682 (2023) - [i58]Liangming Pan, Yunxiang Zhang, Min-Yen Kan:
Investigating Zero- and Few-shot Generalization in Fact Verification. CoRR abs/2309.09444 (2023) - [i57]Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. CoRR abs/2309.15418 (2023) - [i56]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR abs/2310.07609 (2023) - [i55]Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li:
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking. CoRR abs/2310.10492 (2023) - [i54]Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu, Diyi Yang:
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation. CoRR abs/2310.15638 (2023) - [i53]Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning. CoRR abs/2311.08385 (2023) - 2022
- [j27]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: leveraging social context for fake news detection using graph representation. Commun. ACM 65(4): 124-132 (2022) - [j26]Ramtin Yazdanian, Richard Lee Davis, Xiangcen Guo, Fiona Lim, Pierre Dillenbourg, Min-Yen Kan:
On the radar: Predicting near-future surges in skills' hiring demand to provide early warning to educators. Comput. Educ. Artif. Intell. 3: 100043 (2022) - [c158]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria:
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. ACL (1) 2022: 416-431 - [c157]Ibrahim Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen:
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking. ACL (Findings) 2022: 1659-1671 - [c156]Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan:
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. ACL (1) 2022: 2677-2686 - [c155]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Interpreting the Robustness of Neural NLP Models to Textual Perturbations. ACL (Findings) 2022: 3993-4007 - [c154]Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang, Min-Yen Kan:
Lightweight Contextual Logical Structure Recovery. SDP@COLING 2022: 37-48 - [c153]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. COLING 2022: 471-484 - [c152]Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. EMNLP 2022: 5240-5253 - [c151]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. EMNLP 2022: 10498-10511 - [c150]Yiding Ran, Hengchang Hu, Min-Yen Kan:
PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. MORS@RecSys 2022 - [i52]Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan:
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. CoRR abs/2204.08325 (2022) - [i51]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria:
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. CoRR abs/2205.04093 (2022) - [i50]Saurabh Jain, Yisong Miao, Min-Yen Kan:
Comparative Snippet Generation. CoRR abs/2206.05473 (2022) - [i49]Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan:
Modeling and Leveraging Prerequisite Context in Recommendation. CoRR abs/2209.11471 (2022) - [i48]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. CoRR abs/2210.02223 (2022) - [i47]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. CoRR abs/2210.12798 (2022) - 2021
- [j25]Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua:
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. 23: 4491-4501 (2021) - [c149]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c148]Samson Tan, Shafiq R. Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan:
Reliability Testing for Natural Language Processing Systems. ACL/IJCNLP (1) 2021: 4153-4169 - [c147]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8 - [c146]Xichu Ma, Ye Wang, Min-Yen Kan, Wee Sun Lee:
AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics. ACM Multimedia 2021: 1002-1011 - [c145]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann:
Domain Divergences: A Survey and Empirical Analysis. NAACL-HLT 2021: 1830-1849 - [c144]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [c143]Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen:
Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation. SIGDIAL 2021: 133-143 - [i46]Taha Aksu, Nancy F. Chen, Min-Yen Kan, Zhengyuan Liu:
A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation. CoRR abs/2103.00293 (2021) - [i45]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021) - [i44]Samson Tan, Shafiq R. Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan:
Reliability Testing for Natural Language Processing Systems. CoRR abs/2105.02590 (2021) - [i43]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i42]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. CoRR abs/2110.07159 (2021) - [i41]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
ContraQA: Question Answering under Contradicting Contexts. CoRR abs/2110.07803 (2021) - [i40]Keng Ji Chow, Samson Tan, Min-Yen Kan:
TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning. CoRR abs/2111.10756 (2021) - 2020
- [j24]Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder:
Neural side effect discovery from user credibility and experience-assessed online health discussions. J. Biomed. Semant. 11(1): 5 (2020) - [c142]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071 - [c141]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c140]Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. ACL 2020: 2920-2935 - [c139]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CIKM 2020: 1165-1174 - [c138]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. COLING 2020: 2534-2546 - [c137]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652 - [c136]Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan:
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. COLING 2020: 5832-5842 - [c135]Shi Tian, Abhinav Ramesh Kashyap, Min-Yen Kan:
ServiceMarq: Extracting Service Contributions from Call for Papers. DocEng 2020: 20:1-20:4 - [c134]Abhinav Ramesh Kashyap, Min-Yen Kan:
SciWING- A Software Toolkit for Scientific Document Processing. SDP@EMNLP 2020: 113-120 - [c133]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. EMNLP (1) 2020: 5647-5663 - [c132]Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua:
Re-examining the Role of Schema Linking in Text-to-SQL. EMNLP (1) 2020: 6943-6954 - [c131]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia 2020: 1132-1141 - [c130]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM 2020: 304-312 - [i39]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. CoRR abs/2002.09102 (2020) - [i38]Abhinav Ramesh Kashyap, Min-Yen Kan:
SciWING - A Software Toolkit for Scientific Document Processing. CoRR abs/2004.03807 (2020) - [i37]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020) - [i36]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020) - [i35]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. CoRR abs/2004.14870 (2020) - [i34]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR abs/2005.00701 (2020) - [i33]Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. CoRR abs/2005.04364 (2020) - [i32]Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu:
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums. CoRR abs/2005.07382 (2020) - [i31]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CoRR abs/2008.07939 (2020) - [i30]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR abs/2008.09151 (2020) - [i29]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann:
Domain Divergences: a Survey and Empirical Analysis. CoRR abs/2010.12198 (2020) - [i28]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020) - [i27]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. CoRR abs/2011.01102 (2020)
2010 – 2019
- 2019
- [j23]Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu:
Resource Mention Extraction for MOOC Discussion Forums. IEEE Access 7: 87887-87900 (2019) - [c129]Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan:
Sentiment Aware Neural Machine Translation. WAT@EMNLP-IJCNLP 2019: 200-206 - [c128]Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-task Learning for Citation Function and Provenance. JCDL 2019: 394-395 - [c127]Animesh Prasad, Saumya Ahuja, Shenhao Jiang, Bimlesh Wadhwa, Min-Yen Kan:
ChairVisE: An Analytic Lens for Conference Submission Data. JCDL 2019: 428-429 - [c126]Animesh Prasad, Min-Yen Kan:
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction. NAACL-HLT (1) 2019: 1837-1846 - [c125]Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama:
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. NAACL-HLT (1) 2019: 3148-3157 - [c124]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. BIRNDL@SIGIR 2019: 153-166 - [c123]Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). SIGIR 2019: 1441-1443 - [e9]Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11838, Springer 2019, ISBN 978-3-030-32232-8 [contents] - [e8]Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11839, Springer 2019, ISBN 978-3-030-32235-9 [contents] - [i26]Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan:
Recent Advances in Neural Question Generation. CoRR abs/1905.08949 (2019) - [i25]Muthu Kumar Chandrasekaran, Min-Yen Kan:
When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums. CoRR abs/1905.10851 (2019) - [i24]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. CoRR abs/1907.09854 (2019) - [i23]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. CoRR abs/1909.00764 (2019) - [i22]Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang:
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR abs/1910.12391 (2019) - [i21]Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. CoRR abs/1911.08117 (2019) - 2018
- [j22]Philipp Mayr, Ingo Frommholz, Guillaume Cabanac, Muthu Kumar Chandrasekaran, Kokil Jaidka, Min-Yen Kan, Dietmar Wolfram:
Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL). Int. J. Digit. Libr. 19(2-3): 107-111 (2018) - [j21]Kokil Jaidka, Muthu Kumar Chandrasekaran, Sajal Rustagi, Min-Yen Kan:
Insights from CL-SciSumm 2016: the faceted scientific document summarization Shared Task. Int. J. Digit. Libr. 19(2-3): 163-171 (2018) - [j20]Animesh Prasad, Manpreet Kaur, Min-Yen Kan:
Neural ParsCit: a deep learning-based reference string parser. Int. J. Digit. Libr. 19(4): 323-337 (2018) - [c122]Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan:
Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution. AAAI 2018: 4848-4855 - [c121]Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) 2018: 1437-1447 - [c120]Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder:
Treatment Side Effect Prediction from Online User-generated Content. Louhi@EMNLP 2018: 12-21 - [c119]Muthu Kumar Chandrasekaran, Min-Yen Kan:
Countering Position Bias in Instructor Interventions in MOOC Discussion Forums. NLP-TEA@ACL 2018: 135-142 - [c118]Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Identifying Emergent Research Trends by Key Authors and Phrases. COLING 2018: 259-269 - [c117]Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu:
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums. TPDL 2018: 208-219 - [c116]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. BIRNDL@SIGIR 2018: 74-83 - [c115]