Word sense disambiguation as an integer linear programming problem

Vicky Panagiotopoulou, Iraklis Varlamis, Ion Androutsopoulos, George Tsatsaronis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We present an integer linear programming model of word sense disambiguation. Given a sentence, an inventory of possible senses per word, and a sense relatedness measure, the model assigns to the sentence's word occurrences the senses that maximize the total pairwise sense relatedness. Experimental results show that our model, with two unsupervised sense relatedness measures, compares well against two other prominent unsupervised word sense disambiguation methods.

Original languageEnglish
Title of host publicationArtificial Intelligence
Subtitle of host publicationTheories and Applications - 7th Hellenic Conference on AI, SETN 2012, Proceedings
Pages33-40
Number of pages8
DOIs
StatePublished - 2012
Externally publishedYes
Event7th Hellenic Conference on Artificial Intelligence, SETN 2012 - Lamia, Greece
Duration: May 28 2012May 31 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7297 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Hellenic Conference on Artificial Intelligence, SETN 2012
Country/TerritoryGreece
CityLamia
Period05/28/1205/31/12

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