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How Web Communities Analyze Human Language: Word Senses in Wiktionary

Meyer, Christian M. and Gurevych, Iryna (2010) How Web Communities Analyze Human Language: Word Senses in Wiktionary. In: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US.

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Abstract

The emergence of Web 2.0 enables new insights in many research areas. In this study, we examine how communities of Web users define word senses. Although a fundamental notion in human language analysis, it is a major challenge to define what a word sense is. The Collective Intelligence of Web communities has the potential to provide fundamental insights into our understanding of word senses. We focus on two human language resources from Computational Linguistics, namely WordNet and Wiktionary, and analyze their coverage and their word sense distribution. Then, we systematically study the nature of word sense definitions in both resources based on manually chosen representatives. We conclude our study by highlighting the potential of collaboratively defined word senses and suggest further analysis of collaborative resources, like Wiktionary.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:Collective Intelligence, Collaboration on the Web, Word Senses, Wiktionary, WordNet
Subjects:Web Science Events > Web Science 2010
ID Code:349
Deposited By: W S T Administrator
Deposited On:15 Mar 2010 10:18
Last Modified:25 Oct 2011 16:58

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