Partial

Research

Papers

 

Ordered By Topic      Ordered by Year      Full Publication List

 

Social Media Search and Mining

Conversion, Dialogue and Response Generation

o    A Conditional Variational Framework for Dialog Generation, accepted by the 55th annual meeting of the Association for Computational Linguistics (ACL'2017), Vancouver, Canada, July 30 - August 4, 2017.

o    A Part-of-Speech Enhanced Neural Conversation Model, in Proceedings of the 39th European Conference on Information Retrieval (ECIR'2017), Scotland UK, April 8-13, 2017, pp173-185.

Information Propagation and Social Influence Mining

o    Modeling Opinion Influence with User Dual Identity, accepted by the 26th International Conference on Information and Knowledge Management (CIKM'2017), Singapore, November 6-10, 2017.

o    Predictive Network Representation Learning for Link Prediction, in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2017), Tokyo, Japan. August 7-11, 2017.

o    Content-based Social Influence Model on User Opinion Behavior Prediction, in Proceedings of the 26th International Conference on Computational Linguistics (COLING'16), Osaka, Japan, December 11-16, 2016, pp2207-2216.

o    Exploring Interpersonal Influence through Tracking User Dynamic Interaction, IEEE Intelligent Systems, 32(3):28-35, May, 2017.

o    Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-blog, ACM Transactions on Knowledge Discovery from Data (TKDD), 10(4):1-23, June, 2016.

o    A Constrained Multi-view Clustering Approach to Influence Role Detection, IJCAI 2015 Workshop on Social Influence Analysis (SocInf'15), Buenos Aires, Argentina, July 25-31, 2015, pp29-34.

o    Inferring Topic-Dependent Influence Roles of Twitter Users, in Proceedings of the 37th Annual International ACM SIGIR Conference (SIGIR'14), Cold Coast, Australia, July 6-11, 2014, pp1203-1206.

Opinion Mining and Sentiment Classification

o    Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis, accepted by the 26th International Conference on Information and Knowledge Management (CIKM'2017), Singapore, November 6-10, 2017.

o    Cross-lingual Sentiment Relation Capturing for Cross-lingual Sentiment Analysis, in Proceedings of the 39th European Conference on Information Retrieval (ECIR'2017), Scotland UK, April 8-13, 2017, pp54-67.

o    Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15), Beijing, China, July 26-31, 2015.

o    Cross-Lingual Sentiment Lexicon Learning with Bilingual Word Graph Label Propagation, Early View, Computational Linguistics (CL), February, 2015.

o    Co-training Based Bilingual Sentiment Lexicon Learning, in Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI'13), Washington, USA, July 14-18, 2013, pp26-28.

o    Latent Business Networks Mining: A Probabilistic Generative Model, accepted by the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI'2012), Macau, December 4-7, 2012, pp558-562.

o    Document Sentiment Classification by Exploring Description Model of Topical Terms, Computer Speech and Language (CSL), 25(2):386-403, April, 2011.

o    Pattern-based Opinion Mining for Stock Market Trend Prediction, Internal Journal of Computing Processing of Language, Special Issue on Opinion Mining, 21(4):347-361, December, 2008.

o    Developing Evaluation Model of Topical Term for Document-Level Sentiment Classification, in Proceedings of the Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI'08), Hanoi, Vietnam, December 15-19, 2008, pp175-186, LNCS 5351/2008.

o    Learning Knowledge from Relevant Webpage for Opinion Analysis, in Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), Sydney, Australia, December 9-12, 2008, pp307-313.

Blogs and Micro-Blogs Mining

o    Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-blog, ACM Transactions on Knowledge Discovery from Data (TKDD), 10(4):1-23, June, 2016.

o    A Hierarchical Knowledge Representation for Expert Finding on Social Media, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15), Beijing, China, July 26-31, 2015.

o    Sequential Summarization: A Full View of Twitter Trending Topics, IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 22(2):293-302, February, 2014.

o    Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics, in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL'13), Sofia, Bulgaria, August 4-9, 2013, pp567-571.

o    Beyond Twitter Text: A preliminary Study on Twitter Hyperlink and its Application, in Proceedings of the 24th International Conference on Computational Linguistics (COLING'12), Mumbai, India, December 8-15, 2012, pp155-162.

o    Efficient Feedback-based Feature Learning for Blog Distillation as a Terabyte Challenge, in Proceedings of the 24th International Conference on Computational Linguistics (COLING'12), Mumbai, India, December 8-15, 2012, pp147-154.

o    Twitter Hyperlink Recommendation with User-Tweet-Hyperlink Three-Way Clustering, in Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM'12), Maui Hawaii, USA, October 29 - November 2, 2012, pp2535-2538.

o    Learning Features through Feedback for Blog Distillation, in Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR'2011), Beijing, China, July 24-28, 2011, pp1085-1086.

Speech Act Recognition

o    Automatic Twitter Topic Summarization with Speech Acts, IEEE Transactions on Audio, Speech and Language Processing (TASLP), 21(3):649-658, March, 2013.

o    Towards Scalable Speech Act Recognition in Twitter: Tackling Insufficient Training Data, in Proceedings of the EACL 2012 Workshop on Semantic Analysis in Social Networks, Avignon, France, April 23, 2012.

o    What Are Tweeters Doing: Recognizing Speech Acts in Twitter, in Proceedings of AAAI 2011 Workshop on Analyzing Microtext, San Francisco, USA, August 8, 2011.

Social Recommendation

o    Alternating Pointwise-Pairwise Learning for Personalized Item Ranking, accepted by the 26th International Conference on Information and Knowledge Management (CIKM'2017), Singapore, November 6-10, 2017.

o    Social Collaborative Filtering by Trust, Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 38(8):1633-1647, August, 2017.

o    User Preference Modeling by Trust Propagation for Rating Prediction, in Proceedings the 8th IEEE International Conference on Social Computing and Networking (SocialCom'15), Chengdu, China, December 19-21, 2015, pp500-506.

o    A Unified Graph Model for Personalized Query-Oriented Reference Paper Recommendation, in Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), San Francisco, USA, October 27-November 1, 2013, pp1509-1512.

Social Network Analysis

o    Dynamic Business Network Analysis for Correlated Stock Price Movement Prediction, IEEE Intelligent Systems, 30(2):26-33, March, 2015


Document Summarization

Neural Network based Summarization

o    Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream, accepted by the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2017), Tokyo, Japan. August 7-11, 2017.

o    Improving Semantic Relevance for Chinese Social Media Text Summarization, to appear in Proceedings the 55th annual meeting of the Association for Computational Linguistics (ACL'2017), Vancouver, Canada, July 30 - August 4, 2017.

o    Improving Multi-Document Summarization via Text Classification, in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), San Francisco, California, February 4-9, 2017, pp3053-3059.

o    Joint Copying and Restricted Generation for Paraphrase, in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), San Francisco, California, February 4-9, 2017, pp3152-3158.

o    AttSum: Joint Learning of Focusing and Summarization with Neural Attention, in Proceedings of the 26th International Conference on Computational Linguistics (COLING'16), Osaka, Japan, December 11-16, 2016, pp547-556.

o    Learning Summary Prior in Extractive Summarization, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15), Beijing, China, July 26-31, 2015, pp829-833.

Event-based Summarization

o    Event-based Extractive Summarization using Event Semantic Relevance from External Linguistic Resource, in Proceedings of the 6th International Conference on Advanced Language Processing and Web Information Technology (ALPIT'07), Luoyang, China, August 22-24, 2007, pp117-122.

o    Extractive Summarization Based on Event Term Clustering, in Proceedings the 45th Annual Meeting of the Association for Computational Linguistics (ACL'07), Prague, Czech Republic, June 23–30, 2007, pp185-188.

o    Building Document Graph for Text Summarization: An Event-based Approach, in Proceedings of the 21st International Conference on the Computer Processing of Oriental Languages (ICCPOL'06), LNCS 4285, Singapore, December 17-19, 2006, pp181-188, LNCS 4285/2006.

o    Extractive Summarization using Intra- and Inter- Event Relevance, in Proceedings of ACL/COLING 2006 (ACL/COLING'06), Sydney, Australia, July 17–21, 2006, pp369-376.

o    Investigations on Event-Based Summarization, in Proceedings of ACL/COLING 2006 Student Workshop, Sydney, Australia, July 17-21 2006, pp37-42.

o    Deriving Event Relevance from the Ontology Constructed with Formal Concept Analysis, in Proceedings of the Seventh International Conference on Intelligent Text Processing and Computational Linguistics (CiCling'06), Mexico City, Mexico, February 19-25, 2006, pp480-489, LNCS 3878/2006.

Temporal-oriented Summarization

o    Event-based Summarization Using Critical Temporal Event Term Chain, in Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL'09), Hong Kong, March 26-27, 2009, pp383-390.

o    Event-Based Summarization Using Time Features, in Proceedings of the Eighth International Conference on Intelligent Text Processing and Computational Linguistics (CiCling'07), Mexico City, Mexico, February 18-24, 2007, pp563-574, LNCS 4394/2007.

o    Integrating Temporal Distribution Information into Event-based Summarization, International Journal of Computer Processing of Oriental Languages, 19(2&3):201-222, June-September, Combined Issue, 2006.

Entity-based Summarization

o    Exploiting the Role of Named Entities in Query-Oriented Document Summarization, in Proceedings of the Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI'08), Hanoi, Vietnam, December 15-19, 2008, pp740-749, LNCS 5351/2008.

o    Measuring Relevance with Named Entity Based Patterns in Topic-Focused Document Summarization, in Proceedings of the 2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP/KE'07), Beijing, China, August 30-September 1, 2007, pp111-118.

Graph-based Summarization

o    Exploring Hypergraph-based Semi-supervised Ranking for Query-oriented Summarization, Information Science (IS), 237(10):71-286, July, 2013.

o    LDA-based Topic Formation and Topic-Sentence Reinforcement for Graph-Based Multi-Document Summarization, in Proceedings of the eighth Asia Information Retrieval Societies Conference (AIRS'12), Tianjin, China, December 17-19, 2012, pp376-385.

o    Mutually Reinforced Manifold-Ranking based Relevance Propagation Model for Query-Focused Summarization, IEEE Transactions on Audio, Speech and Language Processing (TASLP), 20(5):1597-1607, July, 2012.

o    Document-Aware Graph Models for Query-Oriented Multi-Document Summarization, in Multimedia Analysis, Processing and Communications, 2011 (Book Chapter).

o    A Context-Sensitive Manifold Ranking Approach to Query-Focused Multi-Document Summarization, in Proceedings of the 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI'10), Daegu, Korea, August 30-September 2, 2010, pp27-38.

o    A Document-Sensitive Graph Model for Multi-Document Summarization, Knowledge and Information Systems (KAIS), 22(2):245-259, February, 2010.

o    HyperSum: A Hypergraph Based Semi-Supervised Sentence Ranking for Query-Oriented Summarization, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, November 2-6, 2009, pp1855-1858.

o    Applying Two-Level Mutual Reinforcement Ranking in Query-Oriented Multi-Document Summarization, Journal of the American Society for Information Science and Technology (JASIST), 60(10):2119-2131, October, 2009.

o    Query-Oriented Summarization Based on Neighborhood Graph Model, in Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL'09), Hong Kong, March 26-27, 2009, pp160-171.

o    PNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization, in Proceedings of the 22nd International Conference on Computational Linguistics (COLING'08), Manchester, August 18-22, 2008, pp489-496.

o    Query-Sensitive Mutual Reinforcement Chain for Query-Oriented Multi-document Summarization, in Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR'08), Singapore, July 20-24, 2008, pp283-290.

o    A Query-Sensitive Graph-Based Sentence Ranking Algorithm for Query-Oriented Multi-Document Summarization, in Proceedings of 2008 International Symposium on Information Processing (ISIP'08), Moscow, Russia, May 23-25, 2008, pp9-13.

o    A Cluster-Sensitive Graph Model for Query-Oriented Multi-Document Summarization, in Proceedings of European Conference on Information Retrieval (ECIR'08), Glasgow, Scotland, March 30-April 3, 2008, pp446-453, LNCS 4956/2008.

Theme-based Summarization

o    Enhancing Diversity and Coverage of Document Summaries through Subspace Clustering and Clustering-based Optimization, Information Science, 279(20):764-779, September, 2014.

o    Combining Co-clustering with Noise Detection for Theme-based Summarization, ACM Transactions on Speech and Language Processing (TSLP), 10(4), Number 16, December, 2013.

o    Ranking through Clustering: An Integrated Approach to Multi-Document Summarization, IEEE Transactions on Audio, Speech and Language Processing (TASLP), 21(7):1424-1433, July, 2013.

o    Enhancing Sentence Level Clustering with Integrated and Interactive Frameworks for Theme-based Summarization, Journal of the American Society for Information Science and Technology (JASIST), 62(10):2067-2082, October 2011.

o    Simultaneous Clustering and Noise Detection for Theme-based Summarization, in Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP'11), Chiang Mai, Thailand, November 8-13, 2011, pp491-499.

o    A Spectral Analysis Approach to Document Summarization: Clustering and Ranking Sentences Simultaneously, Information Sciences, 81(18):3816-3827, September 2011.

o    Simultaneous Ranking and Clustering of Sentences: An Reinforcement Approach to Multi-Document Summarization, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING'10), Beijing, China, August 23-27, 2010, pp134–142.

Learning-based Summarization

o    Applying Regression Models to Query-focused Multi-document Summarization, Information Processing and Management (IPM), 47(2):227-237, March, 2011.  

o    Inter-Topic Information Mining for Query-based Summarization, Journal of the American Society for Information Science and Technology (JASIST), 61(5):1062-1072, May, 2010. 

o    Learning Similarity Functions in Graph-based Document Summarization, in Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL'’09), Hong Kong, March 26-27, 2009, pp193-204.

o    Extractive Summarization Using Supervised and Semi-Supervised Learning, in Proceedings of the 22nd International Conference on Computational Linguistics (COLING'08), Manchester, August 18-22, 2008, pp985-992.

o    Developing Learning Strategies for Topic-based Summarization, in Proceedings of the ACM Sixteenth Conference on Information and Knowledge Management (CIKM'07), Lisboa, Portugal, November 6-9, 2007, pp79-86.

o    Exploiting Surface, Content and Relevance Features for Learning-Based Extractive Summarization, in Proceedings of the 2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP/KE'07), Beijing, China, August 30-September 1, 2007, pp234-241.

Ranking for Summarization

o    iRANK: A Rank-Learn-Combine Framework for Unsupervised Ensemble Ranking, Journal of the American Society for Information Science and Technology (JASIST), 61(6):1232-1243, June, 2010. 

o    iRANK: An Interactive Ranking Framework and Its Application in Query-Focused Summarization, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, November 2-6, 2009, pp1557-1560. 

o    Co-feedback Ranking for Query-focused Summarization, in Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL'09), Singapore, July 3-5, 2009, pp117-120.

Hierarchical Summarization

o    A Progressive Sentence Selection Strategy for Document Summarization, Information Processing and Management (IPM), 49(1):213-221 January, 2013. 

o    An Integrated Multi-document Summarization Approach based on Word Hierarchical Representation, in Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL'09), Singapore, July 3-5, 2009, pp113-116.  

Coherence-based Summarization

o    Information Ordering with an Event-Enriched Vector Space Model for Multi-Document News Summarization, Computational Intelligence (CI), 32(2):323-351, May, 2016.

o    Coherent Narrative Summarization with a Cognitive Model, Computer Speech and Language (CSL), 35(1):134-160, January 2016.

o    Towards Content-level Coherence with Aspect-Guided Summarization, ACM Transactions on Speech and Language Processing (TSLP), 10(1), Number 2, March, 2013.

o    Generating Coherent Summaries with Textual Aspects, in Proceedings of the 26th Conference on Artificial Intelligence (AAAI'12), Toronto, Canada, July 22-26, 2012, pp1727-1733.

o    Sentence Ordering Driven by Local and Global Coherence for Summary Generation, in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics/Human Language Technologies, Student Session, Portland, Oregon, USA, June 19-24, 2011.

o    Sentence Ordering with Event-Enriched Semantics and Two-Layered Clustering for Multi-Document News Summarization, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING'10), Beijing, China, August 23-27, 2010, pp1489–1497.

o    Extractive Summarization Based on Event Term Temporal Relation Graph and Critical Chain, in Proceedings of the fifth Asia Information Retrieval Symposium (AIRS'09), Sapporo, Japan, October 21-23, 2009, pp87-99. 

Others

o    TGSUM: Build Tweet Guided Multi-Document Summarization Dataset, in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), Arizona USA, February 12-17, 2016, pp 2906-2912.

o    A Study on Position Information in Document Summarization, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING'10), Beijing, China, August 23-27, 2010, pp919–927.

DUC and TAC Reports

o    PolyU at TAC 2009: Update Task, AESOP Task, in Online Proceedings of Text Analysis Conference 2009.

o    PolyU: QA, Summarization (Update Task), Summarization (Opinion Pilot), in Online Proceedings of Document Understanding Conference 2008.

o    Query Focus Guided Sentence Selection Strategy for DUC 2006, in Online Proceedings of Document Understanding Conference 2006, New York, USA, June 8-9, 2006.

o    The Hong Kong Polytechnic University at DUC 2005, in Online Proceedings of Document Understanding Conference 2005, Vancouver, Canada, October 9-10, 2005.


Temporal Information Processing

General

o    An Overview of Temporal Information Extraction, International Journal of Computer Processing of Oriental Languages (Special Issue on Advanced Technologies for Oriental Information Processing ), 18(2):137-152, June 2005.

o    Towards Automatic Chinese Temporal Information Extraction, Journal of the American Society for Information Science and Technology, 52(9):748-762, July 2001.

o    Application and Difficulty of Natural Language Processing in Chinese Temporal Information Extraction, in Proceedings of the 6th Natural Language Processing Pacific Rim Symposium of Chinese Computing (NLPRS'01), Tokyo, Japan, November 27-29, 2001, pp501-506.

Time Expression Extraction and Normalization

o    Normalizing Chinese Temporal Expressions With Multi-Label Classification, in Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), Wuhan, China, 30 Oct 30-Nov 1, 2005, pp318-323.

o    CTEMP: A Chinese Temporal Parser for Extracting and Normalizing Temporal Information, in Proceedings of the Second International Joint Conference on Natural Language Processing (IJCNLP'05), Jeju Island, Korea, October 11-13, 2005, pp694-706, LNCS 3651/2005.   

o    Identifying Temporal Components in a Chinese Temporal Information System, International Journal of Computer Processing of Chinese and Oriental Language, 13(2):131-140, 2000.

Temporal Classification

o    Automatic Chinese Aspectual Classification Using Linguistic Indicator, International Journal of Information Technology, 12(4):99-109, April, 2006.

o    Using Fuzzy Sets and Genetic Algorithm for Chinese Verb Classification, in Proceedings of the 5th World Congress on Intelligent Control and Automation, Hangzhou, China, June 14-18, 2004, pp2112-2116.

o    Temporal Representation and Classification in Chinese, International Journal of Computer Processing of Oriental Language, 15(2):221-230, June, 2002.

o    An Algorithm for Situation Classification of Chinese Verbs, in Proceedings of the second Chinese Language Processing Workshop, Hong Kong, October 8, 2000, pp140-145.

Temporal Relation Resolution

o    A Framework for Modeling and Representing Temporal Discourse Structure, in Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), Wuhan, China, 30 Oct 30-Nov 1, 2005, pp213-218.

o    Combining Linguistic Features with Weighted Bayesian Classifier for Temporal Reference Processing, in Proceedings of the 20th International Conference on Computational Linguistics (COLING'04), Geneva, Switzerland, August 23-25, 2004, pp702-708.

o    Applying Machine Learning to Chinese Temporal Relation Resolution, in Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL'04), Barcelona, Spain, July 21-26, 2004, pp583-589.  

o    A Word-based Approach for Modeling and Discovering Temporal Relations Embedded in Chinese Sentences, ACM Transactions on Asian Language Information Processing, 1(3):173-206, September, 2002.

o    A Model for Temporal References in Chinese, in Proceedings of ACL Workshop on Temporal and Spatial Information Processing, ACL'2001 Conference, Toulouse, France, July 7, 2001, pp33-40.

Temporal Reasoning

o    Back to the Future: A Logical Framework for Temporal Information Representation and Inferencing from Financial News, in Proceedings of IEEE Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'03), Beijing, China, October 27-29, 2003, pp95-101. (2003)


Information Extraction

Entity Extraction

o    Using Deep Belief Nets for Chinese Named Entity Categorization, in Proceedings of the ACL 2010 Workshop - Named Entities Workshop (NEWS'10), July 16, 2010, pp102–109.

o    Chinese Entity Detection and Tracking: The Experience in ACE, in International Journal of Computer Processing of Oriental Languages, 20(4):219-236, 2007.

o    Domain Extension of Chinese Named Entity Recognition, in Proceedings of the 9th National Joint Symposium on Computational Linguistics, Dalian, China, August 6-8, 2007, pp503-508.

o    Detecting, Categorizing and Clustering Entity Mentions in Chinese Text, in Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR'07), July 23-27, 2007, pp647-654, Amsterdam, Netherlands. (acceptance rate=86/491=17.5%)

o    Applying Machine Learning to Chinese Entity Detection and Tracking, in Proceedings of the Eighth International Conference on Intelligent Text Processing and Computational Linguistics (CiCling'07), Mexico City, Mexico, February 18-24, 2007, pp154-165, LNCS 4394/2007.

o    The Hong Kong Polytechnic University at ACE2005, in Notebook of Automatic Content Extraction (ACE'05), Maryland, USA, December 15-16, 2005.

Entity Relation Extraction

o    Implicit Discourse Relation Recognition by Selecting Typical Training Examples, in Proceedings of the 24th International Conference on Computational Linguistics (COLING'12), Mumbai, India, December 8-15, 2012, pp2757-2772.  

o    Developing Position Structure Based Classification Framework for Chinese Entity Relation Extraction, ACM Transactions on Asian Language Information Processing (TALIP), 10(3), September 2011.

o    Exploring Deep Belief Network for Chinese Relation Extraction, in Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP'10), Beijing, China, August 28-29, 2010.

o    A Novel Composite Kernel Approach to Chinese Entity Relation Extraction, in Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL'09), Hong Kong, March 26-27, 2009, pp240-251.

o    A Novel Feature-based Approach to Chinese Entity Relation Extraction, in Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL'08), Columbus, Ohio, June 16-18, 2008, pp89-92. 

o    Exploiting the Role of Position Feature in Chinese Relation Extraction, in Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Morocco, May 28-30, 2008.

Entity Description Extraction

o    Integrating Linguistic Patterns and Term-Entity Associations in Chinese Person Description Extraction, in Proceedings of the 2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP/KE'07), Beijing, China, August 30-September 1, 2007, pp301-307.

o    Verifying Person Descriptions with Term-Entity Association, in Proceedings of the 4th International Conference on Machine Learning and Cybernetics (ICMLC'05), Guangzhou, China, August 18-21, 2005, pp50-55.

Event Extraction and Tracking

o    Topic Tracking with Time Granularity Reasoning, ACM Transactions on Asian Language Information Processing (TALIP), Special Issue on Reasoning in Natural Language Information Processing, 5(4):388-412, December 2006.

o    Enhancing Topic Tracking with Temporal Information, in Proceedings of the 29th Annual International ACM SIGIR Conference (SIGIR'06), Seattle, USA, August 6-11, 2006, pp667-668.

o    Profile-based Event Tracking, in Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR'05), Salvador, Brazil, August 15-19, 2005, pp631-632.

o    A Design of Temporal Event Extraction from Chinese Financial News, International Journal of Computer Processing of Oriental Language, 16(1):21-40, March, 2003.

o    Extracting Temporal Events from Hong Kong Financial News, in Proceedings of the 19th International Conference on Computer Processing of Oriental Languages (ICCPOL'01), Seoul, Korea, 14-16 May 2001, pp47-53.

Keyword Extraction

o    A Novel Topic Model for Automatic Term Extraction, in Proceedings of the 36th Annual International ACM SIGIR Conference (SIGIR'2013), Dublin, Ireland, July 28-August 1, 2013, pp885-888.

o    A Semi-Supervised Key Phrase Extraction Approach: Learning from Title Phrases through a Document Semantic Network, in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL'10), Uppsala, Sweden, July 11-16, 2010, pp296-300.

o    Key Phrase Extraction Based on Core Word Identification and Word Expansion, accepted by ACL 2010 Workshop - the 5th International Workshop on Semantic Evaluations (SemEval'10), July 15-16, 2010.


Question Answering


Contextual Advertising


Ontology


Data Mining and Machine Learning

Deep Learning and Neural Network Modeling

·         Determining Gains Acquired from Word Embedding Quantitatively using Discrete Distribution Clustering, accepted by the 55th annual meeting of the Association for Computational Linguistics (ACL'2017), Vancouver, Canada, July 30 - August 4, 2017.

·         Mode Regularized Generative Adversarial Networks, to appear in Proceedings of the 5th International Conference on Learning Representations (ICLR’2017), Toulon, France, April 24 - 26, 2017.

·         A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines, accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), January, 2017.

·         Component-Enhanced Chinese Character Embeddings, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP'15), Lisboa, Portugal, September 17-21, 2015, pp829-834.

·         Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP'15), Lisboa, Portugal, September 17-21, 2015, pp2551-2556.

Others

·         Modeling Quantum Entanglements in Quantum Language Models, in Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, July 25 - August 1, 2015, pp1362-1368.

·         A Novel Neural Topic Model and its Supervised Extension, in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), Austin Texas, USA, January 25-30, 2015.

·         Feature-Frequency-Adaptive Online Training for Natural Language Processing with Massive Features, Computational Linguistics (CL), 40(3):563–586, September 2014.

·         Extending the Extreme Physical Information to Universal Cognitive Models via a Confident Information First Principle, Entropy, 16(7):3670-3688, July, 2014.

·         Quadratic Tsallis Entropy Bias and Generalized Maximum Entropy Models, Computational Intelligence (CI), 30(2):233-262, May, 2014. (ISI 2009 Impact Factor: 5.378).

·          Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search, in Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP'2013), Nagoya, Japan, October 14-18, 2013, pp641-647.

·          Latent Structured Perceptrons for Large-Scale Learning with Hidden Information, IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(9):2063-2075, September, 2013   

·         Mining Pure High-Order Word Association via Information Geometry for Information Retrieval, ACM Transactions on Information Systems (TOIS), 31(3), Number 12, July, 2013.

·         Query-oriented Multi-document Summarization via Unsupervised Deep Learning, in Proceedings of the 26th Conference on Artificial Intelligence (AAAI'12), Toronto, Canada, July 22-26, 2012, pp1699-1705.

·         Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection, IEEE Transactions on Knowledge and Data Engineering (TKDE), 22(3): 348-364, 2010.

·         Nonlinear Dimensionality Reduction by Locally Linear Inlaying, IEEE Transactions on Neural Networks (TNN), 20(2):300-315, February 2009.


Other Competition Activities

·         Text Analysis Conferences (TAC) Evaluation, July-September 2008, Sponsored by the Advanced Research and Development Activity (ARDA) program. (Main Participants: Ouyang You)