Skip to main navigation Skip to search Skip to main content

Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents an evaluation of an ensemble-based system that participated in the English and Spanish lexical sample tasks of SENSEVAL-2. The system combines decision trees of unigrams, bigrams, and co-occurrences into a single classifier. The analysis is extended to include the SENSEVAL-1 data.

Original languageEnglish (US)
Pages81-87
Number of pages7
DOIs
StatePublished - 2002
Event2001 SIGLEX/SENSEVAL Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, conjunction with ACL-01 - Philadelphia, United States
Duration: Jul 5 2001Jul 6 2001

Conference

Conference2001 SIGLEX/SENSEVAL Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, conjunction with ACL-01
Country/TerritoryUnited States
CityPhiladelphia
Period7/5/017/6/01

Bibliographical note

Publisher Copyright:
© 2002 Association for Computational Linguistics. All Rights Reserved.

Fingerprint

Dive into the research topics of 'Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples'. Together they form a unique fingerprint.

Cite this