Computational Linguistics - Summarization
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Improving word sense disambiguation in lexical chaining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Using semantic information to answer complex questions
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Information Processing and Management: an International Journal
Natural Language Engineering
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One of the main challenges in the applications (i.e.: text summarization, question answering, information retrieval, etc.) of Natural Language Processing is to determine 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 disambiguation technique that adopts the assumption of one sense per discourse in the context of SemEval-2007 Task 7: "Coarse-grained English all-words".