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ORCIDBing Liu 0001
Person information
- affiliation: University of Illinois at Chicago, Department of Computer Science, IL, USA
Other persons with the same name
- Bing Liu — disambiguation page
- Bing Liu 0002 — University of South Australia
- Bing Liu 0003 — Google (and 1 more)
- Bing Liu 0004 — Universität Mannheim, Germany
- Bing Liu 0005 — University of Science and Technology of China, Hefei, Anhui, China
- Bing Liu 0006 — Huawei Technologies, Beijing, China (and 1 more)
- Bing Liu 0007 — Concordia University, Montreal, Canada
- Bing Liu 0008
![[0000-0003-2029-5187]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2029-5187")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition - Bing Liu 0009 — Fudan University
- Bing Liu 0010 — Huazhong University of Science and Technology, Department of Mathematics, China
- Bing Liu 0011 — Anshan Normal University, Department of Mathematics
- Bing Liu 0012 — Qualcomm, San Diego, CA, USA (and 1 more)
- Bing Liu 0013 — University of Pittsburgh, Department of Computational & Systems Biology, USA (and 2 more)
- Bing Liu 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering
- Bing Liu 0015 — University of Southern California
- Bing Liu 0016 — China University of Mining and Technology, Xuzhou, China
- Bing Liu 0017 — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA
- Bing Liu 0018 — Institute of Surveying and Mapping, Zhengzhou, China
- Bing Liu 0019 — Chongqing University, College of Computer Science, Chongqing, China (and 1 more)
- Bing Liu 0020 — Harbin Engineering University, Acoustic Science and Technology Laboratory, Harbin, China
- Bing Liu 0021 — University of Edinburgh, UK
- Bing Liu 0022 — Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
- Bing Liu 0023 — Beijing Normal University, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, China
- Bing Liu 0024 — Facebook AI, Menlo Park, CA, USA (and 1 more)
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2020 – today
- 2022
[c218]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) 2022: 367-379- [i51]Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. CoRR abs/2202.01924 (2022) - [i50]Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-Initiation, Adaptation and Continual Learning. CoRR abs/2203.08994 (2022) - [i49]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CoRR abs/2203.09450 (2022) - [i48]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open-set Recognition via Augmentation-based Similarity Learning. CoRR abs/2203.13238 (2022) - 2021
- [j40]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [c217]Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu:
Continual Learning by Using Information of Each Class Holistically. AAAI 2021: 7797-7805 - [c216]Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan:
Predictive Adversarial Learning from Positive and Unlabeled Data. AAAI 2021: 7806-7814 - [c215]Bing Liu, Sahisnu Mazumder:
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. AAAI 2021: 15058-15063 - [c214]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. ACL/IJCNLP (Findings) 2021: 3657-3668 - [c213]Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection in Natural Language Descriptions. EMNLP (1) 2021: 866-882 - [c212]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) 2021: 6871-6883 - [c211]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT 2021: 4746-4755 - [c210]Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu:
BNS: Building Network Structures Dynamically for Continual Learning. NeurIPS 2021: 20608-20620 - [c209]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS 2021: 22443-22456 - [c208]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches. SIGDIAL 2021: 276-289 - [i47]Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu:
Detecting Changed-Hands Online Review Accounts. CoRR abs/2106.15352 (2021) - [i46]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Open Set Detection by Extending CLIP. CoRR abs/2109.02748 (2021) - [i45]Bing Liu, Eric Robertson, Scott Grigsby, Sahisnu Mazumder:
Self-Initiated Open World Learning for Autonomous AI Agents. CoRR abs/2110.11385 (2021) - [i44]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR abs/2112.02706 (2021) - [i43]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR abs/2112.02714 (2021) - [i42]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR abs/2112.03271 (2021) - [i41]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR abs/2112.10017 (2021) - [i40]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR abs/2112.10021 (2021) - 2020
- [j39]Hao Wang, Yan Yang, Bing Liu:
GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1116-1129 (2020) - [c207]Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu:
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. ACL 2020: 5782-5788 - [c206]Qi Qin, Wenpeng Hu, Bing Liu:
Feature Projection for Improved Text Classification. ACL 2020: 8161-8171 - [c205]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING 2020: 244-250 - [c204]Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li:
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING 2020: 580-591 - [c203]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao:
Transformation of Dense and Sparse Text Representations. COLING 2020: 3257-3267 - [c202]Wenpeng Hu, Ran Le, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan:
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. COLING 2020: 4111-4122 - [c201]Qi Qin, Wenpeng Hu, Bing Liu:
Using the Past Knowledge to Improve Sentiment Classification. EMNLP (Findings) 2020: 1124-1133 - [c200]Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu:
A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. EMNLP (Findings) 2020: 1616-1626 - [c199]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 1725-1731 - [c198]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. EMNLP (Findings) 2020: 3805-3817 - [c197]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Goal Summarization for Human-Human Health Coaching Dialogues. FLAIRS Conference 2020: 317-322 - [c196]Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu:
HRN: A Holistic Approach to One Class Learning. NeurIPS 2020 - [c195]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS 2020 - [c194]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) 2020: 683-698 - [c193]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Aiswarya Baiju, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Nadia Nabulsi, Mary Smart:
Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis. SIGdial 2020: 246-256 - [i39]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR abs/2004.13816 (2020) - [i38]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. CoRR abs/2004.14357 (2020) - [i37]Bing Liu, Sahisnu Mazumder:
Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. CoRR abs/2009.10750 (2020) - [i36]Qi Qin, Wenpeng Hu, Bing Liu:
Text Classification with Novelty Detection. CoRR abs/2009.11119 (2020) - [i35]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. CoRR abs/2009.12046 (2020) - [i34]Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu:
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. CoRR abs/2010.05357 (2020) - [i33]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR abs/2011.00169 (2020)
2010 – 2019
- 2019
- [j38]Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu:
Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 14(2): 16-17 (2019) - [j37]Hao Wang, Yan Yang, Bing Liu, Hamido Fujita:
A study of graph-based system for multi-view clustering. Knowl. Based Syst. 163: 1009-1019 (2019) - [j36]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1201-1212 (2019) - [j35]Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. ACM Trans. Intell. Syst. Technol. 10(2): 18:1-18:24 (2019) - [c192]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601 - [c191]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. ACML 2019: 457-472 - [c190]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Modeling Health Coaching Dialogues for Behavioral Goal Extraction. BIBM 2019: 1188-1190 - [c189]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) 2019: 1304-1310 - [c188]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) 2019: 6285-6291 - [c187]Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Zhengwei Tao, Jinwen Ma, Dongyan Zhao, Rui Yan:
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. ICLR (Poster) 2019 - [c186]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI 2019: 3677-3683 - [c185]Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. IJCAI 2019: 5010-5016 - [c184]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) 2019: 2324-2335 - [c183]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML 2019: 100-115 - [c182]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. SIGdial 2019: 21-31 - [c181]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial 2019: 178-187 - [c180]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Open-world Learning and Application to Product Classification. WWW 2019: 3413-3419 - [i32]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. CoRR abs/1902.00821 (2019) - [i31]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR abs/1904.02232 (2019) - [i30]Lei Shu, Hu Xu, Bing Liu:
Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1905.06407 (2019) - [i29]Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. CoRR abs/1905.13637 (2019) - [i28]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR abs/1906.00098 (2019) - [i27]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019) - [i26]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. CoRR abs/1906.03506 (2019) - [i25]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. CoRR abs/1907.13295 (2019) - [i24]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR abs/1908.02402 (2019) - [i23]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR abs/1908.11546 (2019) - [i22]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR abs/1909.00124 (2019) - [i21]Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour:
Building an Application Independent Natural Language Interface. CoRR abs/1910.14084 (2019) - [i20]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR abs/1911.01460 (2019) - [i19]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Haiqing Chen, Dongyan Zhao, Jinwen Ma, Rui Yan:
Transformation of Dense and Sparse Text Representations. CoRR abs/1911.02914 (2019) - 2018
- [b6]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning, Second Edition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018 - [j34]Lei Zhang, Shuai Wang, Bing Liu:
Deep learning for sentiment analysis: A survey. WIREs Data Mining Knowl. Discov. 8(4) (2018) - [c179]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018: 730-739 - [c178]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) 2018: 592-598 - [c177]Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang:
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) 2018: 957-967 - [c176]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Geli Fei, Bing Liu:
Lifelong Learning Memory Networks for Aspect Sentiment Classification. IEEE BigData 2018: 861-870 - [c175]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Rafe Davis, Aiswarya Baiju:
Towards Building a Virtual Assistant Health Coach. ICHI 2018: 419-421 - [c174]Wenpeng Hu, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan:
Aspect-based Question Generation. ICLR (Workshop) 2018 - [c173]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. IJCAI 2018: 4510-4516 - [e12]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [r8]Bing Liu:
Classification by Association Rule Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Bing Liu:
Opinion Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Lei Zhang, Bing Liu:
Sentiment Analysis in Social Media, Aspect Extraction for. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i18]Zhiyuan Chen, Nianzu Ma, Bing Liu:
Lifelong Learning for Sentiment Classification. CoRR abs/1801.02808 (2018) - [i17]Lei Shu, Hu Xu, Bing Liu:
Unseen Class Discovery in Open-world Classification. CoRR abs/1801.05609 (2018) - [i16]Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu:
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR abs/1801.06172 (2018) - [i15]Lei Zhang, Shuai Wang, Bing Liu:
Deep Learning for Sentiment Analysis : A Survey. CoRR abs/1801.07883 (2018) - [i14]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR abs/1802.05818 (2018) - [i13]Sahisnu Mazumder, Nianzu Ma, Bing Liu:
Towards a Continuous Knowledge Learning Engine for Chatbots. CoRR abs/1802.06024 (2018) - [i12]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1805.04601 (2018) - [i11]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. CoRR abs/1805.07889 (2018) - [i10]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. CoRR abs/1805.09991 (2018) - [i9]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Learning to Accept New Classes without Training. CoRR abs/1809.06004 (2018) - 2017
- [j33]Bing Liu:
Lifelong machine learning: a paradigm for continuous learning. Frontiers Comput. Sci. 11(3): 359-361 (2017) - [c172]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. ACL (2) 2017: 148-154 - [c171]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. EMNLP 2017: 2911-2916 - [c170]Sahisnu Mazumder, Bing Liu:
Context-aware Path Ranking for Knowledge Base Completion. IJCAI 2017: 1195-1201 - [c169]Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD 2017: 717-725 - [c168]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW 2017: 1063-1072 - [r5]Lei Zhang, Bing Liu:
Sentiment Analysis and Opinion Mining. Encyclopedia of Machine Learning and Data Mining 2017: 1152-1161 - [r4]Zhiyuan Chen, Bing Liu:
Topic Models for NLP Applications. Encyclopedia of Machine Learning and Data Mining 2017: 1276-1280 - [i8]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. CoRR abs/1704.01074 (2017) - [i7]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. CoRR abs/1705.00251 (2017) - [i6]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. CoRR abs/1709.08716 (2017) - [i5]Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. CoRR abs/1710.02844 (2017) - [i4]Sahisnu Mazumder, Bing Liu:
Context-aware Path Ranking for Knowledge Base Completion. CoRR abs/1712.07745 (2017) - 2016
- [b5]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016 - [j32]Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu:
Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing 171: 798-806 (2016) - [j31]Liang Yang, Bing Liu, Hongfei Lin, Yuan Lin:
Combining local and global information for product feature extraction in opinion documents. Inf. Process. Lett. 116(10): 623-627 (2016) - [j30]Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
Automated rule selection for opinion target extraction. Knowl. Based Syst. 104: 74-88 (2016) - [c167]Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao:
Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. AAAI 2016: 2986-2992 - [c166]Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery:
Identifying Search Keywords for Finding Relevant Social Media Posts. AAAI 2016: 3052-3058 - [c165]Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu:
Discovering Correspondence of Sentiment Words and Aspects. CICLing (2) 2016: 233-245 - [c164]Lei Shu, Bing Liu, Hu Xu, Annice Kim:
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. EMNLP 2016: 225-235 - [c163]