Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora

J de Knijff; K (Kevin) Meijer; Flavius Frasincar; Frederik Hogenboom

doi:10.1007/978-3-642-24434-6_18

Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora

J de Knijff, K (Kevin) Meijer, Flavius Frasincar, Frederik Hogenboom

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

Abstract

In this paper, we propose the Automatic Taxonomy Construction from Text (ATCT) framework for building taxonomies from text-based Web corpora. The framework is composed of multiple processing steps. Firstly, domain terms are extracted using a filtering method. Subsequently, Word Sense Disambiguation (WSD) is optionally applied in order to determine the senses of these terms. Then, by means of a subsumption technique, the resulting concepts are arranged in a hierarchy. We construct taxonomies with and without WSD and we investigate the effect of WSD on the quality of concept type-of relations using an evaluation framework that uses a golden taxonomy. We find that WSD improves the quality of the built taxonomy in terms of the taxonomic F-Measure.

Original language	English
Title of host publication	Twelfth International Conference on Web Information System Engineering (WISE 2011)
Editors	A. Bouguettaya, M. Hauswirth, L. Liu
Place of Publication	Berlin
Publisher	Springer-Verlag
Pages	241-248
Number of pages	8
Volume	6997
DOIs	https://doi.org/10.1007/978-3-642-24434-6_18
Publication status	Published - 13 Oct 2011

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EUR ESE 32

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10.1007/978-3-642-24434-6_18

http://hdl.handle.net/1765/53694

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de Knijff, J., Meijer, K., Frasincar, F., & Hogenboom, F. (2011). Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora. In A. Bouguettaya, M. Hauswirth, & L. Liu (Eds.), Twelfth International Conference on Web Information System Engineering (WISE 2011) (Vol. 6997, pp. 241-248). Springer-Verlag. https://doi.org/10.1007/978-3-642-24434-6_18

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title = "Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora",

abstract = "In this paper, we propose the Automatic Taxonomy Construction from Text (ATCT) framework for building taxonomies from text-based Web corpora. The framework is composed of multiple processing steps. Firstly, domain terms are extracted using a filtering method. Subsequently, Word Sense Disambiguation (WSD) is optionally applied in order to determine the senses of these terms. Then, by means of a subsumption technique, the resulting concepts are arranged in a hierarchy. We construct taxonomies with and without WSD and we investigate the effect of WSD on the quality of concept type-of relations using an evaluation framework that uses a golden taxonomy. We find that WSD improves the quality of the built taxonomy in terms of the taxonomic F-Measure.",

author = "{de Knijff}, J and Meijer, {K (Kevin)} and Flavius Frasincar and Frederik Hogenboom",

year = "2011",

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doi = "10.1007/978-3-642-24434-6_18",

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de Knijff, J, Meijer, K, Frasincar, F & Hogenboom, F 2011, Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora. in A Bouguettaya, M Hauswirth & L Liu (eds), Twelfth International Conference on Web Information System Engineering (WISE 2011). vol. 6997, Springer-Verlag, Berlin, pp. 241-248. https://doi.org/10.1007/978-3-642-24434-6_18

Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora. / de Knijff, J; Meijer, K (Kevin); Frasincar, Flavius et al.
Twelfth International Conference on Web Information System Engineering (WISE 2011). ed. / A. Bouguettaya; M. Hauswirth; L. Liu. Vol. 6997 Berlin: Springer-Verlag, 2011. p. 241-248.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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N2 - In this paper, we propose the Automatic Taxonomy Construction from Text (ATCT) framework for building taxonomies from text-based Web corpora. The framework is composed of multiple processing steps. Firstly, domain terms are extracted using a filtering method. Subsequently, Word Sense Disambiguation (WSD) is optionally applied in order to determine the senses of these terms. Then, by means of a subsumption technique, the resulting concepts are arranged in a hierarchy. We construct taxonomies with and without WSD and we investigate the effect of WSD on the quality of concept type-of relations using an evaluation framework that uses a golden taxonomy. We find that WSD improves the quality of the built taxonomy in terms of the taxonomic F-Measure.

AB - In this paper, we propose the Automatic Taxonomy Construction from Text (ATCT) framework for building taxonomies from text-based Web corpora. The framework is composed of multiple processing steps. Firstly, domain terms are extracted using a filtering method. Subsequently, Word Sense Disambiguation (WSD) is optionally applied in order to determine the senses of these terms. Then, by means of a subsumption technique, the resulting concepts are arranged in a hierarchy. We construct taxonomies with and without WSD and we investigate the effect of WSD on the quality of concept type-of relations using an evaluation framework that uses a golden taxonomy. We find that WSD improves the quality of the built taxonomy in terms of the taxonomic F-Measure.

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BT - Twelfth International Conference on Web Information System Engineering (WISE 2011)

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A2 - Hauswirth, M.

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PB - Springer-Verlag

CY - Berlin

ER -

Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora

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