WSD: Semantic Disambiguation in English

Description

SINAI WSD is a system of Semantic Disambiguation in English based on neural networks. The network used is the LVQ trained with different linguistic resources such as Wordnet and Semcor. The convention to be followed for labeling is: word\POS#SENSE, where word is the original word, the POS is the Part Of Speech (1 if it is a name, 2 if it is a verb, 3 an adjective and 4 an adverb) and SENSE is the number of senses in WordNet 1.7. As this server is shared and contains other projects, the tagger is limited to the 1500 most common English words, in order to reduce resources.