Séminaires RALI-OLST

Distributional Semantics for Robust Automatic Summarization

Jackie Cheung (jcheung <at> cs (point) mcgill (point) ca)

Université McGill

Wednesday 4 November 2015 at 11:30 AM

Salle 3195, Pavillon André-Aisenstadt


In automatic summarization, interest is shifting ever more from bigram-based extractive techniques towards text-to-text and fully abstractive methods. A major challenge in the field is to determine what kind of semantic representations is rich enough to support useful inferences yet easily learnable from data. In this talk, I discuss how distributional semantics (DS) can help to determine the content and form of summaries in support of these goals. First, I present a method that integrates phrasal DS representations into a probabilistic content model in order to learn about the important events and slots in a domain. This method aims to use automatically learned domain knowledge to inform content selection, and is validated by an extractive summarization experiment. Then, I discuss the use of DS within a text-to-text sentence fusion setting, in which parts of multiple source text sentences are fused together to form a novel output sentence. This work points to the potential of DS to support broad-coverage natural language generation applications.



Join with Zoom at this url.
Meeting ID: 916 9097 5818, 𝑷𝒂𝒔𝒔𝒄𝒐𝒅𝒆: 343273.
Phone numbers: https://umontreal.zoom.us/u/abitNZzLg.
One tap mobile: +14388097799,,91690975818#,,,,,,0#,,343273#


To receive weekly talk announcements, please send an e-mail to majordomo@iro.umontreal.ca. Simply write a message containing the single line 'subscribe ralli' (without the quotes).

See all the weekly talks for the year:

1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021