Summary of the paper
| Title | Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation |
|---|---|
| Authors | Eneko Agirre and Aitor Soroa |
| Abstract | This paper presents the results of a graph-based method for performing knowledge-based Word Sense Disambiguation (WSD). The technique exploits the structural properties of the graph underlying the chosen knowledge base. The method is general, in the sense that it is not tied to any particular knowledge base, but in this work we have applied it to the Multilingual Central Repository (MCR). The evaluation has been performed on the Senseval-3 all-words task. The main contributions of the paper are twofold: (1) We have evaluated the separate and combined performance of each type of relation in the MCR, and thus indirectly validated the contents of the MCR and their potential for WSD. (2) We obtain state-of-the-art results, and in fact yield the best results that can be obtained using publicly available data. |
| Language | Single language |
| Topics | Word Sense Disambiguation, Validation of LRs |
Full paper |
Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation |
Slides |
Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation |
| Bibtex | @InProceedings{AGIRRE08.351, author = {Eneko Agirre and Aitor Soroa}, title = {Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |