Name
Abstract | ||
|---|---|---|
In our approach to the Robust WSD task we have used a passage based system jointly with a WordNet and WSD based term expansion for the documents and queries. Furthermore, we have experimented with two well known relevance feedback methods - LCA and PRF -, in order to figure out which is more suitable to take profit of the WSD query expansion based on Wordnet. Our best run has obtained a 4th - 0.4008 MAP -. A major finding is that LCA fits better than PRF to this task due to it is able to take advantage of the expanded documents and queries. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-642-04447-2_16 | CLEF |
Keywords | Field | DocType |
term expansion,clef robust wsd task,expanded document,relevance feedback method,best run,wsd query expansion,major finding,robust wsd task,query expansion,profitability,information retrieval | Relevance feedback,Query expansion,Information retrieval,Computer science,Natural language processing,Artificial intelligence,WordNet,Clef,Word-sense disambiguation | Conference |
Volume | ISSN | ISBN |
5706 | 0302-9743 | 3-642-04446-8 |
Citations | PageRank | References |
4 | 0.47 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Navarro | 1 | 43 | 5.97 |
| Fernando Llopis | 2 | 32 | 6.37 |
| Rafael Muñoz | 3 | 326 | 44.91 |