PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Contextual Preferences
Idan Szpektor, Ido Dagan, Roy Bar Haim and Jacob Goldberger
In: ACL 2008, Jun, 2008, Ohio, USA.

Abstract

The validity of semantic inferences depends on the contexts in which they are applied. We propose a generic framework for handling contextual considerations within applied inference, termed Contextual Preferences. This framework defines the various context-aware components needed for inference and their relationships. Contextual preferences extend and generalize previous notions, such as selectional preferences, while experiments show that the extended framework allows improving inference quality on real application data.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:3752
Deposited By:Idan Szpektor
Deposited On:13 March 2009