Open AccessAn Insight into Word Sense Disambiguation Techniques
Author(s) -
Harsimran Singh,
Vishal Gupta
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20888-3666
Subject(s) - computer science , word sense disambiguation , semeval , word (group theory) , natural language processing , artificial intelligence , information retrieval , linguistics , task (project management) , wordnet , management , economics , philosophy
paper presents various techniques used in the area of Word Sense Disambiguation (WSD). There are a number of techniques such as: Knowledge based approaches, which use the knowledge encoded in Lexical resources; Supervised Machine Leaning methods in which the classifier is made to learn from previously semantically annotated corpus; Unsupervised approaches that form cluster occurrences of words. Then there are also semi supervised approaches which use semi annotated corpus as reference data along with unlabeled data.
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