TKB-UO: Using Sense Clustering for WSD
by
Henry Anaya-sánchez
,
Aurora Pons-porrata
,
Rafael Berlanga-llavori
| Citations: | 2 - 0 self |
BibTeX
@MISC{Anaya-sánchez_tkb-uo:using,
author = {Henry Anaya-sánchez and Aurora Pons-porrata and Rafael Berlanga-llavori},
title = {TKB-UO: Using Sense Clustering for WSD},
year = {}
}
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Abstract
This paper describes the clustering-based approach to Word Sense Disambiguation that is followed by the TKB-UO system at SemEval-2007. The underlying disambiguation method only uses WordNet as external resource, and does not use training data. Results obtained in both Coarse-grained English all-words task (task 7) and English fine-grained all-words subtask (task 17) are presented.
Citations
| 1 | Eneko Agirre and Oier López. 2003. Clustering wordnet word senses - Anaya-Sánchez, Pons-Porrata, et al. - 2006 |
| 1 | 2003 Extended Star Clustering Algorithm. Lecture Notes on Computer Sciences, 2905:480–487 Chin-Yew Lin and Eduard Hovy. 2000. The Automated Acquisition of Topic Signatures for Text Summarization - Gil-García, Badía-Contelles, et al. |
