Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution

Prescher, Detlef; Riezler, Stefan; Rooth, Mats

Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution

Authors

Prescher, Detlef

Riezler, Stefan

Rooth, Mats

Description

This paper presents the use of probabilistic class-based lexica for disambiguation in target-word 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 fine-tuning to verbal arguments is done in an unsupervised manner by EM-based clustering techniques. The method shows promising results in an evaluation on real-world translations.
7 pages, uses colacl.sty