PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Investigating Lexical Substitution Scoring for Subtitle Generation
Oren Glickman, Ido Dagan, Mikaela Keller, Samy Bengio and Walter Daelemans
In: CoNLL-X, 8-9 Jun 2006, New York City, USA.


This paper investigates an isolated setting of the lexical substitution task of replacing words with their synonyms. In particular, we examine this problem in the setting of subtitle generation and evaluate state of the art scoring methods that predict the validity of a given substitution. The paper evaluates two context independent models and two contextual models. The major findings suggest that distributional similarity provides a useful complementary estimate for the likelihood that two Wordnet synonyms are indeed substitutable, while proper modeling of contextual constraints is still a challenging task for future research.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:2760
Deposited By:Oren Glickman
Deposited On:22 November 2006