Feel free to edit/comment/spam/anything here
IMHO the LS problem can be reduced to a classification problem:
the context could be a text frame, a bag of words, a tfidf-labelled array etc.
the possible translations for w can be obtained maybe from WordNet? or another dictionary?
We already have a set of attributes (
slr) to mark ambiguous words; it would be best to use those. en-ca and en-es have examples -- Jimregan 13:22, 21 June 2009 (UTC)
Awesome :D I'll give it a read in the next days :) Thanks a lot! -- Deadbeef 23:53, 30 June 2009 (UTC)
the classification problem can be solved in various ways: support vector machines, naive-bayes classifier, decision tree etc.
It seems that the WSD problem can be handled with a Inductive Logic Programming-oriented approach, as this paper states: http://www.mt-archive.info/ACL-2007-Specia.pdf
I'm currently trying to introduce probabilistic reasoning into Aleph - the Inductive Logic Programming framework cited in the paper - for a university project and maybe it would be interesting to see how it could handle with lexical selection.
Data Mining/Machine Learning tools supporting the classification task
I've tried many tools while taking AI and DM-related classes, like Weka (that I've integrated in a Multi-Agent System to support agents while taking decisions) or RapidMiner, but I think the most appropriate tool to use in this case could be Orange. Now I'm doing some experiments in using its APIs from C++ and Python.
Some Bookmarks (please feel free to add more)
Using UMLS Concept Unique Identifiers (CUIs) for Word Sense Disambiguation in the Biomedical Domain: http://www.d.umn.edu/~tpederse/Pubs/amia07.pdf
Word Sense Disambiguation - Algorithms and Applications: http://www.wsdbook.org/
Word Sense Disambiguation: The State of the Art: http://sites.univ-provence.fr/~veronis/pdf/1998wsd.pdf
Word Sense Disambiguation (slide from the "Linguaggi e Traduttori" class): http://www.di.uniba.it/~semeraro/LT/WSD.pdf
Perl scripts doing WSD and mapping on UMLS ontologies: http://cuitools.sourceforge.net/
Nice ACM survey on WSD: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf
Verb Semantics and Lexical Selection: http://www.ldc.upenn.edu/acl/P/P94/P94-1019.pdf
Parameter reduction in unsupervisedly trained sliding-window part-of-speech taggers: http://transducens.dlsi.ua.es/repositori/transducens/pubs/167/ranlp05.pdf