Bing Liu

Orcid: 0000-0002-4096-6980

Affiliations:
  • University of Illinois at Chicago, Department of Computer Science, IL, USA


According to our database1, Bing Liu authored at least 352 papers between 1988 and 2024.

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Bibliography

2024
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning.
CoRR, 2024

A Theory for Length Generalization in Learning to Reason.
CoRR, 2024

Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Sentiment Analysis in the Era of Large Language Models: A Reality Check.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Class Incremental Learning via Likelihood Ratio Based Task Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-Modal Continual Pre-Training For Audio Encoders.
Proceedings of the IEEE International Conference on Acoustics, 2024

Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation.
AI Mag., June, 2023

Conditions for Length Generalization in Learning Reasoning Skills.
CoRR, 2023

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning.
CoRR, 2023

Continual Learning of Language Models.
CoRR, 2023

Parameter-Level Soft-Masking for Continual Learning.
Proceedings of the International Conference on Machine Learning, 2023

Learnability and Algorithm for Continual Learning.
Proceedings of the International Conference on Machine Learning, 2023

Continual Pre-training of Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dealing with Cross-Task Class Discrimination in Online Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Class-Incremental Learning based on Label Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering.
IEEE Trans. Knowl. Data Eng., 2022

Exploit Feature and Relation Hierarchy for Relation Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Continual Learning of Natural Language Processing Tasks: A Survey.
CoRR, 2022

Lifelong and Continual Learning Dialogue Systems.
CoRR, 2022

Knowledge-Guided Exploration in Deep Reinforcement Learning.
CoRR, 2022

AI Autonomy: Self-Initiation, Adaptation and Continual Learning.
CoRR, 2022

Zero-Shot Aspect-Based Sentiment Analysis.
CoRR, 2022

Knowledge Distillation for Discourse Relation Analysis.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Continual Learning Dialogue Systems - Learning during Conversation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Beyond Opinion Mining: Summarizing Opinions of Customer Reviews.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Theoretical Study on Solving Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Continual Learning through Mutual Information Maximization.
Proceedings of the International Conference on Machine Learning, 2022

Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adapting a Language Model While Preserving its General Knowledge.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Learning Based on OOD Detection and Task Masking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Open Set Recognition Via Augmentation-Based Similarity Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Adaptive Orthogonal Projection for Batch and Online Continual Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
3E-LDA: Three Enhancements to Linear Discriminant Analysis.
ACM Trans. Knowl. Discov. Data, 2021

Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification.
CoRR, 2021

Self-Initiated Open World Learning for Autonomous AI Agents.
CoRR, 2021

Zero-Shot Open Set Detection by Extending CLIP.
CoRR, 2021

Detecting Changed-Hands Online Review Accounts.
CoRR, 2021

Affect Recognition for Multimodal Natural Language Processing.
Cogn. Comput., 2021

Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

BNS: Building Network Structures Dynamically for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Semantic Novelty Detection in Natural Language Descriptions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Continual Learning by Using Information of Each Class Holistically.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Predictive Adversarial Learning from Positive and Unlabeled Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Lifelong and Continual Learning Dialogue Systems: Learning during Conversation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
GMC: Graph-Based Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., 2020

AGTR: Adversarial Generation of Target Review for Rating Prediction.
Data Sci. Eng., 2020

Text Classification with Novelty Detection.
CoRR, 2020

Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job.
CoRR, 2020

User Memory Reasoning for Conversational Recommendation.
CoRR, 2020

Similarities and Evolutionary Relationships of COVID-19 and Related Viruses.
CoRR, 2020

Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Continual Learning with Knowledge Transfer for Sentiment Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

HRN: A Holistic Approach to One Class Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Goal Summarization for Human-Human Health Coaching Dialogues.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Using the Past Knowledge to Improve Sentiment Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Controllable Text Generation with Focused Variation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Adversarial Generation of Target Review for Rating Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Bayes-enhanced Lifelong Attention Networks for Sentiment Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Transformation of Dense and Sparse Text Representations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Feature Projection for Improved Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Reconstruction of Hidden Representation for Robust Feature Extraction.
ACM Trans. Intell. Syst. Technol., 2019

Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

A study of graph-based system for multi-view clustering.
Knowl. Based Syst., 2019

Transformation of Dense and Sparse Text Representations.
CoRR, 2019

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution.
CoRR, 2019

Building an Application Independent Natural Language Interface.
CoRR, 2019

Controlled CNN-based Sequence Labeling for Aspect Extraction.
CoRR, 2019

Review Conversational Reading Comprehension.
CoRR, 2019

Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial].
IEEE Comput. Intell. Mag., 2019

Open-world Learning and Application to Product Classification.
Proceedings of the World Wide Web Conference, 2019

Flexibly-Structured Model for Task-Oriented Dialogues.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Lifelong and Interactive Learning of Factual Knowledge in Dialogues.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Spectral Perturbation Meets Incomplete Multi-view Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

GSN: A Graph-Structured Network for Multi-Party Dialogues.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling Multi-Action Policy for Task-Oriented Dialogues.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains.
Proceedings of the Database Systems for Advanced Applications, 2019

Modeling Health Coaching Dialogues for Behavioral Goal Extraction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Forward and Backward Knowledge Transfer for Sentiment Classification.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Lifelong Machine Learning, Second Edition
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01581-6, 2018

Sentiment Analysis in Social Media, Aspect Extraction for.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Opinion Mining.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Classification by Association Rule Analysis.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Deep learning for sentiment analysis: A survey.
WIREs Data Mining Knowl. Discov., 2018

Cluster's Quality Evaluation and Selective Clustering Ensemble.
ACM Trans. Knowl. Discov. Data, 2018

Local rough set: A solution to rough data analysis in big data.
Int. J. Approx. Reason., 2018

Learning to Accept New Classes without Training.
CoRR, 2018

Towards a Continuous Knowledge Learning Engine for Chatbots.
CoRR, 2018

Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning.
CoRR, 2018

Contextual and Position-Aware Factorization Machines for Sentiment Classification.
CoRR, 2018

Unseen Class Discovery in Open-world Classification.
CoRR, 2018

Lifelong Domain Word Embedding via Meta-Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Aspect-based Question Generation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Towards Building a Virtual Assistant Health Coach.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Lifelong Learning Memory Networks for Aspect Sentiment Classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Target-Sensitive Memory Networks for Aspect Sentiment Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Topic Models for NLP Applications.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Sentiment Analysis and Opinion Mining.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Lifelong machine learning: a paradigm for continuous learning.
Frontiers Comput. Sci., 2017

Learning Spatiotemporal-Aware Representation for POI Recommendation.
CoRR, 2017

Bimodal Distribution and Co-Bursting in Review Spam Detection.
Proceedings of the 26th International Conference on World Wide Web, 2017

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Context-aware Path Ranking for Knowledge Base Completion.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

DOC: Deep Open Classification of Text Documents.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Lifelong Learning CRF for Supervised Aspect Extraction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Lifelong Machine Learning
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01575-5, 2016

Space Structure and Clustering of Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2016

Automated rule selection for opinion target extraction.
Knowl. Based Syst., 2016

Combining local and global information for product feature extraction in opinion documents.
Inf. Process. Lett., 2016

Tri-Training for authorship attribution with limited training data: a comprehensive study.
Neurocomputing, 2016

Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results.
CoRR, 2016

Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors.
CoRR, 2016

Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model.
Proceedings of the 25th International Conference on World Wide Web, 2016

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews.
Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

Breaking the Closed World Assumption in Text Classification.
Proceedings of the NAACL HLT 2016, 2016

Targeted Topic Modeling for Focused Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning Cumulatively to Become More Knowledgeable.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Lifelong Machine Learning and Computer Reading the Web.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Discovering Correspondence of Sentiment Words and Aspects.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

Identifying Search Keywords for Finding Relevant Social Media Posts.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Diversionary Comments under Blog Posts.
ACM Trans. Web, 2015

Fusing Monotonic Decision Trees.
IEEE Trans. Knowl. Data Eng., 2015

Review Authorship Attribution in a Similarity Space.
J. Comput. Sci. Technol., 2015

Sentiment analysis, lifelong learning, and intelligent personal assistants.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Automated Rule Selection for Aspect Extraction in Opinion Mining.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Social Media Text Classification under Negative Covariate Shift.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Lifelong Learning for Sentiment Classification.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Extracting Verb Expressions Implying Negative Opinions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Sentiment Analysis - Mining Opinions, Sentiments, and Emotions.
Cambridge University Press, ISBN: 978-1-10-701789-4, 2015

2014
Topic formation and development: a core-group evolving process.
World Wide Web, 2014

Spotting Fake Reviews using Positive-Unlabeled Learning.
Computación y Sistemas, 2014

Co-training on authorship attribution with very fewlabeled examples: methods vs. views.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Mining topics in documents: standing on the shoulders of big data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

Detecting Campaign Promoters on Twitter Using Markov Random Fields.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Spotting Fake Reviews via Collective Positive-Unlabeled Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploiting Social Relations and Sentiment for Stock Prediction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Review Topic Discovery with Phrases using the Pólya Urn Model.
Proceedings of the COLING 2014, 2014

Sentence-Level Sentiment Analysis in the Presence of Modalities.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

Tri-Training for Authorship Attribution with Limited Training Data.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Aspect Extraction with Automated Prior Knowledge Learning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Rule-Based Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Statistical Approaches to Concept-Level Sentiment Analysis.
IEEE Intell. Syst., 2013

Knowledge-Based Approaches to Concept-Level Sentiment Analysis.
IEEE Intell. Syst., 2013

A Logic Programming Approach to Aspect Extraction in Opinion Mining.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Identifying Intention Posts in Discussion Forums.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Spotting opinion spammers using behavioral footprints.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Leveraging Multi-Domain Prior Knowledge in Topic Models.
Proceedings of the IJCAI 2013, 2013

What Yelp Fake Review Filter Might Be Doing?
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Exploiting Burstiness in Reviews for Review Spammer Detection.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Identifying Multiple Userids of the Same Author.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Exploiting Domain Knowledge in Aspect Extraction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Sentiment analysis of sentences with modalities.
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, 2013

Discovering coherent topics using general knowledge.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Exploiting Topic based Twitter Sentiment for Stock Prediction.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Public Dialogue: Analysis of Tolerance in Online Discussions.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Discovering User Interactions in Ideological Discussions.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Sentiment Analysis and Opinion Mining
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02145-9, 2012

Identify Online Store Review Spammers via Social Review Graph.
ACM Trans. Intell. Syst. Technol., 2012

Product Feature Grouping for Opinion Mining.
IEEE Intell. Syst., 2012

Spotting fake reviewer groups in consumer reviews.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Mining contentions from discussions and debates.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Analysis of Linguistic Style Accommodation in Online Debates.
Proceedings of the COLING 2012, 2012

A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining.
Proceedings of the COLING 2012, 2012

Diversionary comments under political blog posts.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Modeling Review Comments.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Aspect Extraction through Semi-Supervised Modeling.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

A Survey of Opinion Mining and Sentiment Analysis.
Proceedings of the Mining Text Data, 2012

2011
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Second Edition
Data-Centric Systems and Applications, Springer, ISBN: 978-3-642-19460-3, 2011

Opinion Word Expansion and Target Extraction through Double Propagation.
Comput. Linguistics, 2011

Detecting group review spam.
Proceedings of the 20th International Conference on World Wide Web, 2011

Clustering product features for opinion mining.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Constrained LDA for Grouping Product Features in Opinion Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Extracting Resource Terms for Sentiment Analysis.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Review Graph Based Online Store Review Spammer Detection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Entity set expansion in opinion documents.
Proceedings of the HT'11, 2011

Identifying Noun Product Features that Imply Opinions.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Identifying Evaluative Sentences in Online Discussions.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Sentiment Analysis and Subjectivity.
Proceedings of the Handbook of Natural Language Processing, Second Edition., 2010

Entity relation discovery from web tables and links.
Proceedings of the 19th International Conference on World Wide Web, 2010

A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction.
Proceedings of the SIAM International Conference on Data Mining, 2010

Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Improving Gender Classification of Blog Authors.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Negative Training Data Can be Harmful to Text Classification.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Extracting and Ranking Product Features in Opinion Documents.
Proceedings of the COLING 2010, 2010

Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints.
Proceedings of the COLING 2010, 2010

Resolving Object and Attribute Coreference in Opinion Mining.
Proceedings of the COLING 2010, 2010

WePS3 Evaluation Campaign: Overview of the On-line Reputation Management Task.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

Keynote speaker.
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010

Detecting product review spammers using rating behaviors.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Finding unusual review patterns using unexpected rules.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Distributional Similarity vs. PU Learning for Entity Set Expansion.
Proceedings of the ACL 2010, 2010

Time Sensitive Ranking with Application to Publication Search.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Opinion Mining.
Proceedings of the Encyclopedia of Database Systems, 2009

Classification by Association Rule Analysis.
Proceedings of the Encyclopedia of Database Systems, 2009

Positive Unlabeled Learning for Data Stream Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

Entity discovery and assignment for opinion mining applications.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Expanding Domain Sentiment Lexicon through Double Propagation.
Proceedings of the IJCAI 2009, 2009

Finding Actionable Knowledge via Automated Comparison.
Proceedings of the 25th International Conference on Data Engineering, 2009

Towards the SocioScope: an information system for the study of social dynamics through digital traces.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

Sentiment Analysis of Conditional Sentences.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

What's behind topic formation and development: a perspective of community core groups.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Guest editorial.
Stat. Anal. Data Min., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Managing large collections of data mining models.
Commun. ACM, 2008

Opinion spam and analysis.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

A holistic lexicon-based approach to opinion mining.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Time Sensitive Ranking with Application to Publication Search.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Opinions in Comparative Sentences.
Proceedings of the COLING 2008, 2008

2007
KDD Cup and workshop 2007.
SIGKDD Explor., 2007

Extracting Web Data Using Instance-Based Learning.
World Wide Web, 2007

Review spam detection.
Proceedings of the 16th International Conference on World Wide Web, 2007

Semantic text classification of disease reporting.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

The utility of linguistic rules in opinion mining.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Semantic Text Classification of Emergent Disease Reports.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Learning to Identify Unexpected Instances in the Test Set.
Proceedings of the IJCAI 2007, 2007

Analyzing and Detecting Review Spam.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Learning to Classify Documents with Only a Small Positive Training Set.
Proceedings of the Machine Learning: ECML 2007, 2007

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
Data-Centric Systems and Applications, Springer, ISBN: 978-3-540-37882-2, 2007

2006
Structured Data Extraction from the Web Based on Partial Tree Alignment.
IEEE Trans. Knowl. Data Eng., 2006

Identifying comparative sentences in text documents.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Discovering Overlapping Communities of Named Entities.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Opportunity map: identifying causes of failure - a deployed data mining system.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Rule interestingness analysis using OLAP operations.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Mining Community Structure of Named Entities from Web Pages and Blogs.
Proceedings of the Computational Approaches to Analyzing Weblogs, 2006

Opinion Feature Extraction Using Class Sequential Rules.
Proceedings of the Computational Approaches to Analyzing Weblogs, 2006

Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment.
Proceedings of the Proceedings, 2006

Mining Comparative Sentences and Relations.
Proceedings of the Proceedings, 2006

Opinion Extraction and Summarization on the Web.
Proceedings of the Proceedings, 2006

2005
Guest Editors' Introduction: Special Section on Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng., 2005

Web data extraction based on partial tree alignment.
Proceedings of the 14th international conference on World Wide Web, 2005

Opinion observer: analyzing and comparing opinions on the Web.
Proceedings of the 14th international conference on World Wide Web, 2005

NET - A System for Extracting Web Data from Flat and Nested Data Records.
Proceedings of the Web Information Systems Engineering, 2005

WISE-2005 Tutorial: Web Content Mining.
Proceedings of the Web Information Systems Engineering, 2005

Adding the Temporal Dimension to Search - A Case Study in Publication Search.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

An EM Based Training Algorithm for Cross-Language Text Categorization.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

A Visual Data Mining Framework for Convenient Identification of Useful Knowledge.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Learning from Positive and Unlabeled Examples with Different Data Distributions.
Proceedings of the Machine Learning: ECML 2005, 2005

Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Opportunity map: a visualization framework for fast identification of actionable knowledge.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Mining community structure of named entities from free text.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Guest Editors' Introduction: Special Section on Mining and Searching the Web.
IEEE Trans. Knowl. Data Eng., 2004

WebKDD 2004: web mining and web usage analysis post-workshop report.
SIGKDD Explor., 2004

Editorial: special issue on web content mining.
SIGKDD Explor., 2004

An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds.
J. Bioinform. Comput. Biol., 2004

Mining Web Pages for Data Records.
IEEE Intell. Syst., 2004

On the temporal dimension of search.
Proceedings of the 13th international conference on World Wide Web, 2004

Dealing with different distributions in learning from.
Proceedings of the 13th international conference on World Wide Web, 2004

V-Miner: using enhanced parallel coordinates to mine product design and test data.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Mining and summarizing customer reviews.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Semi-supervised Text Classification Using Partitioned EM.
Proceedings of the Database Systems for Advances Applications, 2004


Text Classification by Labeling Words.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

Mining Opinion Features in Customer Reviews.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Scoring the Data Using Association Rules.
Appl. Intell., 2003

Mining topic-specific concepts and definitions on the web.
Proceedings of the Twelfth International World Wide Web Conference, 2003

Eliminating noisy information in Web pages for data mining.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Mining data records in Web pages.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Web Page Cleaning for Web Mining through Feature Weighting.
Proceedings of the IJCAI-03, 2003

Learning to Classify Texts Using Positive and Unlabeled Data.
Proceedings of the IJCAI-03, 2003

Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression.
Proceedings of the Machine Learning, 2003

Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Building Text Classifiers Using Positive and Unlabeled Examples.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Experimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002
Research Activities in Database Management and Information Retrieval at the University of Illinois at Chicago.
SIGMOD Rec., 2002

Business applications of data mining.
Commun. ACM, 2002

Visualizing web site comparisons.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Discovering Frequent Substructures from Hierarchical Semi-structured Data.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

A refinement approach to handling model misfit in text categorization.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Querying multiple sets of discovered rules.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Partially Supervised Classification of Text Documents.
Proceedings of the Machine Learning, 2002

Speed-up Iterative Frequent Itemset Mining with Constraint Changes.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Multivariate Time Series Prediction via Temporal Classification.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

Using micro information units for internet search.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Generating Classification Rules According to User's Existing Knowledge.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Discovering unexpected information from your competitors' web sites.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Discovering the set of fundamental rule changes.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Identifying non-actionable association rules.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Analyzing the Interestingness of Association Rules from the Temporal Dimension.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Efficiently Determining the Starting Sample Size for Progressive Sampling.
Proceedings of the Machine Learning: EMCL 2001, 2001

Efficiently Determine the Starting Sample Size for Progressive Sampling.
Proceedings of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001

2000
Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web.
SIGKDD Explor., 2000

Analyzing the Subjective Interestingness of Association Rules.
IEEE Intell. Syst., 2000

Conceptual design: issues and challenges.
Comput. Aided Des., 2000

Improving an Association Rule Based Classifier.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Targeting the right students using data mining.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Multi-level organization and summarization of the discovered rules.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Exploration mining in diabetic patients databases: findings and conclusions.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Mining Changes for Real-Life Applications.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

Web for Data Mining Applications.
Proceedings of the 24th International Computer Software and Applications Conference (COMPSAC 2000), 2000

Clustering Through Decision Tree Construction.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

Intuitive Representation of Decision Trees Using General Rules and Exceptions.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Finding Interesting Patterns Using User Expectations.
IEEE Trans. Knowl. Data Eng., 1999

Visually Aided Exploration of Interesting Association Rules.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Mining Interesting Knowledge Using DM-II.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Mining Association Rules with Multiple Minimum Supports.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Pruning and Summarizing the Discovered Associations.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Clustering Transactions Using Large Items.
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999

1998
Concurrent Discretization of Multiple Attributes.
Proceedings of the PRICAI'98, 1998

Using Decision Tree Induction for Discovering Holes in Data.
Proceedings of the PRICAI'98, 1998

Interestingness-Based Interval Merger for Numeric Association Rules.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Integrating Classification and Association Rule Mining.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997
Route finding by using knowledge about the road network.
IEEE Trans. Syst. Man Cybern. Part A, 1997

Forward and Backward Chaining in Constraint Programming (Abstract).
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 1997

Using General Impressions to Analyze Discovered Classification Rules.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Discovering Interesting Holes in Data.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
An Improved Generic Arc Consistency Algorithm and Its Specializations.
Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996

Intelligent Route Finding: Combining Knowledge and Cases and an Efficient Search Algorithm.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996

Using Constraints to Model Disjunctions in Rule-Based Reasoning.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Post-Analysis of Learned Rules.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Increasing Functional Constraints Need to Be Checked Only Once.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Using Knowledge to Isolate Search in Route Finding.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Intelligent Air Travel and Tourist Information Systems.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

A Refinement Approach to Search and Constraint Satisfaction Problem.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

1994
Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm.
IEEE Expert, 1994

Integrating Rules and Constraints.
Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994

1992
ConstraintLisp: an object-oriented constraint programming language.
ACM SIGPLAN Notices, 1992

1988
Scheduling via reinforcement.
Artif. Intell. Eng., 1988

A Reinforcement Approach to Schelduling.
Proceedings of the 8th European Conference on Artificial Intelligence, 1988


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