Using Neural Networks Identification of Word Sense
Creators
- 1. Assistant Professor, Department of Computer Science and Engineering, National Engineering College,Kovilpatti, Tamil Nadu, India
- 2. Assistant Professor, Department of Computer Science and Engineering, Sriguru College of Engineering,Coimbatore, Tamil Nadu, India
Description
Neural Network based methodology recognizes the feeling of the word showing up in a
sentence. The distinction implications of a word are recorded as its different faculties in a
lexicon. The enhancement in the precision of distinguishing the right word sense will result in
better Machine Translation and Information Retrieval Systems. The objective word is
tokenized and the distinguished association with different words is resolved utilizing area
explicit WordNet. In the proposed framework, we portray a model, which naturally
manufactures Neural Networks from definition messages in machine-coherent lexicons, and
shows the utilization of these systems for word sense disambiguation. Neural systems are
utilized for the development of preparing sets in an administered philosophy. The plan is
assessed through exact execution records for two particular spaces to outline its pertinence
in the specific situation.
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Additional details
References
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- You-Jin Chung, Sin-Jae Kang, Kyong- Hi Moon, and Jong-Hyeok Lee "Word Sense Disambiguation(WSD) Using Neural Networks with Concept Cooccurrence Information"vol.1, pp.546- 549, January 2009
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- Michael sussna, "Word sense disambiguation for free text Indexing using a semantic network", in proceeding international conference on research and development in information retrieval, 2006
- You-Jin Chung, Sin-Jae Kang, Kyong- Hi Moon, and Jong-Hyeok Lee "Word SenseDisambiguation Using Neural Networks with Concept Co-occurrence information"vol.1, pp.546-549, January 2009
Subjects
- Computer Science / IT Journals
- http://matjournals.com/Engineering-Journals.html