Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution

Abstract

This paper presents the use of probabilistic class-based lexica for disambiguation in targetword selection. Our method employs minimal but precise contextual information for disambiguation. That is, only information provided by the target-verb, enriched by the condensed information of a probabilistic class-based lexicon, is used. Induction of classes and… (More)

Topics

8 Figures and Tables

Statistics

051015'02'04'06'08'10'12'14'16'18
Citations per Year

64 Citations

Semantic Scholar estimates that this publication has 64 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Prescher2000UsingAP, title={Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution}, author={Detlef Prescher and Stefan Riezler and Mats Rooth}, booktitle={COLING}, year={2000} }