Rhetorical Structure Analysis and its Application to Sentiment Summarization
Speaker: Dr. Raymond Ng, Professor - Computer Science Department, University of British Columbia
Abstract: For many business intelligence applications, decision making depends critically on the information contained in all forms of text documents. Rhetorical parsing of documents has been studied for decades. In the first half of this talk, we give an overview of recent advances. In the second half, we present our latest results on using rhetorical structure and relationships for sentiment summarization.
Bio: Dr. Raymond Ng is a professor in Computer Science at the University of British Columbia. His main research area for the past two decades is on data mining, with a specific focus on health informatics and text mining. He has published over 150 peer-reviewed publications on data clustering, outlier detection, OLAP processing, health informatics and text mining. He is the recipient of two best paper awards - from 2001 ACM SIGKDD conference and the 2005 ACM SIGMOD conference. He was one of the program co-chairs of the 2009 International conference on Data Engineering, and one of the program co-chairs of the 2002 ACM SIGKDD conference. He was also one of the general co-chairs of the 2008 ACM SIGMOD conference. He was an editorial board member of the Very large Database Journal and the IEEE Transactions on Knowledge and Data Engineering until 2008.
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