Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11846406_22 | TSD |
Keywords | Field | DocType |
word sense disambiguation,wsd system,right combination,wsd method,specific method,lexical sample task,different kind,particular part-of-speech,pos taggers,part of speech | Computer science,Support vector machine,Speech recognition,Natural language,Natural language processing,Ambiguity resolution,Artificial intelligence,Principle of maximum entropy,Word-sense disambiguation,Polysemy | Conference |
Volume | ISSN | ISBN |
4188 | 0302-9743 | 3-540-39090-1 |
Citations | PageRank | References |
1 | 0.44 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenza Moreno-Monteagudo | 1 | 8 | 2.69 |
| Rubén Izquierdo-Beviá | 2 | 6 | 1.63 |
| Patricio Martínez-Barco | 3 | 282 | 43.37 |
| Armando Suárez | 4 | 99 | 14.29 |