Minlie Huang

PhD, Associate Professor

Research Interest

natural language processing, data mining, artificial intelligence, machine learning

Sentiment Analysis and Opinion Mining for Business Intelligence and Competition Intelligence

• Sentiment extraction
• Cross-domain sentiment classification
• Context-aware opinion mining

Information Diversity and Summarization

• Update summarization (information novelty)
• Structured Summarization (in terms of aspects, attributes, or subtopics)
• Timeline Summarization (global overview generation)
• Abstractive Summarization (sentence compression and language generation)

Question Answering Technique

• Interactive question answering
• Question analysis
• Answer generation

User Interest Modeling in SNS

• Content-based user interest modeling
• Social network based user interest modeling
• Intelligent ads recommendation

Natural language processing conference papers on ACL 2012, ACL 2010, ACL 2009, COLING 2010, NA-ACL 2010, IJCNLP 2011

Artificial intelligence conference papers on AAAI 2012, IJCAI 2011, AAAI 2010

Text mining and data mining conference papers on CIKM 2012, ICDM 2011, ICDM 2009, ICDM 2008, PAKDD 2007

Journal papers: Knowledge and Information System (2012), Journal of the American Medical Informatics Association (2011), Journal of Computer Science and Technology (2011,2010), Bioinformatics (2011, 2005, 2004), BMC Bioinformatics (2009, 2008), Genome Biology (2008)

See paper list at here.

PC member for ACL 2012, EMNLP 2012, EACL 2012, NA-ACL 2012, CIKM 2012

Area chair of opinion mining and sentiment analysis session of EMNLP 2011

PC member for ACL 2010, EACL 2011 IJCNLP 2011 ,ECML/PKDD 2011 , ICMLA 2010, ICMLA 2011

Reviewers of TKDE, TALIP; Associate Editor of BMC Bioinformatics, and reviewer of Bioinformatics

October 2006, University of Hamburg, Germany, short-term visiting scholar.

January 2010 - July 2010, NCBI, NIH, USA, visiting professor.

Leading group on document summarization in Text Analysis Conference (TAC) 2008

Leading group on document summarization in TAC 2009

Leading group on bio-literature mining 2010 BioCreative II challenges

Leading group on Chinese Opinion Analysis Evaluation challenge 2011 (COAE)

A Chinese Review Mining system (cReviewMiner), with more than 5 million reviews of digital products, hotels and restaurants, and with APIs for accessing data and service.

A gene recognition and normalization system GeneTUKit . See the bioinformatics paper , source code at here. An invited application in Elsevier Scopus and ScienceDirect

A multi-document summarization system (the algorithm obtained top-performing results in TAC 2009) Source codes can be downloaded here. and see our ICDM paper.

A sentence compression model using first-order logic (with thebeast MLN engine). Source file here.