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Feel free to edit/comment/spam/anything here

Some formalizing

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 meaning associated to a word can be obtained for example from WordNet

the classification problem can be solved in various ways: support vector machines, naive-bayes classifier, decision tree etc.

Some Bookmarks (please feel free to add more)

Using UMLS Concept Unique Identifiers (CUIs) for Word Sense Disambiguation in the Biomedical Domain:

Word Sense Disambiguation - Algorithms and Applications:

Word Sense Disambiguation: The State of the Art:

Word Sense Disambiguation (slide from the "Linguaggi e Traduttori" class):

Perl scripts doing WSD and mapping on UMLS ontologies:

Nice ACM survey on WSD:

Verb Semantics and Lexical Selection: