Rhetorical Structure Analysis and its Application to Sentiment Summarization

May 19, 2017
Versione stampabile

Time: May 19, 2017, h. 11:00 am
Location: Room A107, Polo scientifico e tecnologico "Fabio Ferrari", Building Povo 1 - via Sommarive 5, Povo (Trento)

Speaker  

Prof. Raymond Ng, UBC Data Science Institute, University of British Columbia, Vancouver, Canada

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.

About the Speaker

Raymond’s 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 180 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 the 2001 ACM SIGKDD conference, the premier data mining conference in the world, and the 2005 ACM SIGMOD conference, one of the top database conferences worldwide. For the past decade, he has co-led several large-scale genomic projects funded by Genome Canada, Genome BC and industrial collaborators. Since the inception of the PROOF Centre of Excellence, which focuses on biomarker development for end-stage organ failures, he has held the position of the Chief Informatics Officer of the Centre. From 2009 to 2014, Dr. Ng was the associate director of the NSERC-funded strategic network on business intelligence. He is the Director of the UBC Data Science Institute.

Contact person regarding this talk: Enrico Blanzieri, enrico.blanzieri [at] unitn.it