One of the main challenges in the applica- tions (i.e.: text summarization, question an- swering, information retrieval, etc.) of Natural Language Processing is to deter- mine which of the several senses of a word is used in a given context. The problem is phrased as “Word Sense Disambiguation (WSD)” in the NLP community. This paper presents the dictionary based disambigua- tion technique that adopts the assumption of one sense per discourse in the context of SemEval-2007 Task 7: “Coarse-grained English all-words”.

@inproceedings{chali-joty-semeval-07, abstract = {One of the main challenges in the applica- tions (i.e.: text summarization, question an- swering, information retrieval, etc.) of Natural Language Processing is to deter- mine which of the several senses of a word is used in a given context. The problem is phrased as “Word Sense Disambiguation (WSD)” in the NLP community. This paper presents the dictionary based disambigua- tion technique that adopts the assumption of one sense per discourse in the context of SemEval-2007 Task 7: “Coarse-grained English all-words”.}, address = {Prague, Check Republic}, author = {Yllias Chali* and Shafiq Joty*}, booktitle = {Proceedings of the 4th International Workshop on Semantic Evaluations}, pages = {476--479}, publisher = {ACL}, series = {SemEval'07}, title = {{Word Sense Disambiguation Using Lexical Cohesion}}, url = {papers/chali-joty-semeval-07}, year = {2007} }