TU Darmstadt / ULB / TUbiblio

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 Second Web Science Conference, Raleigh, NC, USA, [Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...],
[Conference or Workshop Item]

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
Erschienen: 2010
Creators: Meyer, Christian M. and Gurevych, Iryna
Title: How Web Communities Analyze Human Language: Word Senses in Wiktionary
Language: English
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.

Title of Book: Proceedings of the Second Web Science Conference
Uncontrolled Keywords: UKP_a_NLP4Wikis;UKP_p_EduWeb;reviewed
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Raleigh, NC, USA
Date Deposited: 31 Dec 2016 14:29
Official URL: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...
Identification Number: TUD-CS-2010-0069
Related URLs:
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item