Prof. Raymond Ng 講演
- To: dbjapan <dbjapan [at] dbsj.org>
- Subject: Prof. Raymond Ng 講演
- From: Masaru Kitsuregawa <kitsure [at] tkl.iis.u-tokyo.ac.jp>
- Date: Mon, 16 Dec 2013 23:37:38 +0900
マイニング大家のご講演です。 喜連川 ------------------- 日時：12月20日（金）17:00-18:00 会場：国立情報学研究所 12階 1208会議室 Dr. Raymond Ng is a professor in Computer Science at the University of British Columbia, visits NII and give us a talk as follows. Everyone is welcome!! Time and Date : 17:00-18:00, Friday, December 20 Place : Room 1208, 12th floor, National Institute of Informatics Title: Discourse Analysis and Summarization of asynchronous conversations For many business intelligence applications, decision making depends critically on the information contained in all forms of “informal” text documents, such as emails, blogs and meeting summaries. For example, in a meeting, the topic of developing a new product was first raised. In subsequent follow-up emails, additional comments and discussions were added, which included links to web documents describing similar products in the market and user reviews on those products. A discourse analysis and extraction of features from this “conversation” is valuable for browsing and understanding of the underlying data. A concise, natural language summary is also beneficial for many applications. In this presentation, we give an overview of our research program on discourse analysis of asynchronous conversations. We discuss our recent studies on topic modeling, dialog acts extraction and rhetorical parsing. We also overview our approaches for abstractive summarization. (This program has been partially funded by Google, IBM and SAP.) Short 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, which is the premier data mining conference worldwide, and the 2005 ACM SIGMOD conference, which is one of the top database conferences worldwide.