Measuring semantic relatedness using people and WordNet

Beata Beigman Klebanov

doi:10.3115/1614049.1614053

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Measuring semantic relatedness using people and WordNet

Beata Beigman Klebanov

Year: 2006 Pages: 13-16

DOI: 10.3115/1614049.1614053

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Abstract

In this paper, we (1) propose a new dataset for testing the degree of relatedness between pairs of words; (2) propose a new WordNet-based measure of relatedness, and evaluate it on the new dataset. 1

Keywords:

WordNet Computer science Semantic similarity Measure (data warehouse) Natural language processing Artificial intelligence Information retrieval Degree (music) Data mining

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Topics

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Measuring semantic relatedness using people and WordNet

Abstract

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Citation History

Topics

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