[nl-uiuc] Upcoming talk at the AIIS seminar (this Thursday).

[Alexandre Klementiev]

Dear faculty and students,

Dr. Ivan Titov will give a talk (details below) at the
AIIS<http://l2r.cs.uiuc.edu/%7Ecogcomp/aiis/>seminar this Thursday.

Thank you,
 Alex

Title:* Modeling Online Reviews: Exploiting User Annotations for Sentiment
Summarization *
Speaker: * Ivan Titov, UIUC*
 Date: Mar. 27, 4:00pm
Location: Siebel 3405

Abstract:

User generated content represents a unique source of information in which
user interface tools have facilitated the creation of an abundance of
labeled content, e.g., topics in blogs, numerical product and service
ratings in user reviews, and helpfulness rankings in online discussion
forums. Many previous studies on user generated content have attempted to
predict these labels automatically from the associated text. However, these
annotations are often present in the data already, which opens another
interesting line of research: designing models leveraging these labelings to
improve a wide variety of applications. In this talk I will be considering
the sentiment summarization problem. I will present statistical models which
exploit user generated aspect ratings to discover corresponding topics and
are therefore able to extract fragments of text discussing these aspects
without the need of annotated data. Joint work with Ryan McDonald.

Bio:

Ivan Titov is a postdoctoral researcher at the Cognitive Computation Group
working with Dan Roth. He has just received his PhD degree in computer
science from the University of Geneva, Switzerland with the thesis focused
on latent variable models for natural language parsing.  He has started
working on topic modeling and sentiment summarization during his internship
at Google Research in Summer, 2007. His research interests include
statistical natural language processing, machine learning for structure
processing, kernel methods and graphical models.
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