A Study of the Influence of PoS Tagging on WSD

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2006Publisher:Springer Berlin Heidelberg

Authors: Lorenza Moreno-Monteagudo; Rubén Izquierdo-Beviá; Patricio Martínez-Barco; Armando Suárez;

doi: 10.1007/11846406_22

A Study of the Influence of PoS Tagging on WSD

- Summary
- Metrics

Abstract

In this paper we discuss to what extent the choice of one particular Part-of-Speech (PoS) tagger determines the results obtained by a word sense disambiguation (WSD) system We have chosen several PoS taggers and two WSD methods By combining them, and using different kind of information, several experiments have been carried out The WSD systems have been evaluated using the corpora of the lexical sample task of senseval-3 for English The results show that some PoS taggers work better with one specific method That is, selecting the right combination of these tools, could improve the results obtained by a WSD system.

Related Organizations

University of Alicante
Spain

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average