An Hybrid Approach to Word Sense Disambiguation with and Without Learned Knowledge
Roshan Karwa, Manoj Chandak · International Journal on Natural Language Computing · 2015
Word Sense Disambiguation is a classification of meaning of word in a precise context which is a tricky task to perform in Natural Language Processing which is used in application like machine translation, information extraction and retrieval, automatic or closed domain question answering system for the reason that of its semantics perceptive.Researchers tried for unsupervised and knowledge based learning approaches however such approaches have not proved more helpful.Various supervised learning algorithms have been made, but in vain as the attempt of creating the training corpus which is a tagged sense marked corpora is tricky.This paper presents a hybrid approach for resolving ambiguity in a sentence which is based on integrating lexical knowledge and world knowledge.English Wordnet developed at Princeton University, SemCor corpus and the JAWS library (Java API for WordNet searching) has been used for this purpose.