RALI-OLST Weekly Talks
SemLink - Linking PropBank, VerbNet, FrameNet and WordNet
University of Colorado Boulder
Wednesday 15 November 2006 at 11:30 AM
Salle C-9019, Pavillon Lionel-Groulx
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to overfit on idiosyncrasies of that text's style, and do not port well to other genres. In addition, since PropBank was designed on a verb-by-verb basis, the argument labels Arg2 - Arg5 get used for very diverse argument roles with inconsistent training instances. For example, the verb ``make'' uses Arg2 for the ``Material'' argument; but the verb ``multiply'' uses Arg2 for the ``Extent'' argument. As a result, it can be difficult for automatic classifiers to learn to distinguish arguments Arg2-Arg5. We have created a mapping between PropBank and VerbNet what provides a VerbNet thematic role label for each verb-specific PropBank label. Since VerbNet uses argument labels that are more consistent across verbs, we are able to demonstrate that these new labels are easier to learn. This talk will describe PropBank and VerbNet, and the mapping between them, and present the resulting improvements in automatic Semantic Role Labeling. Preliminary mappings to FrameNet and CYC will also be described.
To receive weekly talk announcements, please send an e-mail to email@example.com. 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