A word sense disambiguation approach for converting natural language text into a common semantic description

Francisco Tacoa; Hiroshi Uchida; Mitsuru Ishizuka

doi:10.1109/ICSC.2010.66

A word sense disambiguation approach for converting natural language text into a common semantic description

Francisco Tacoa^*, Hiroshi Uchida, Mitsuru Ishizuka

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Concept Description Language (CDL) is a common language that represents the semantics of content in a simple and structured manner. In particular, it is intended to describe Natural Language (NL) texts in a format that can be understood and processed by computers. Since words with multiple meanings can be found from texts, it becomes necessary to perform Word Sense Disambiguation (WSD) in order to achieve a correct representation. This paper presents a WSD approach that determines best candidates for word meanings and contributes to a semi-automatic conversion of NL into CDL. We perform preliminary experiments by evaluating the approach with some test sentences and comparing with other WSD methods. Results suggest that the existence of a proper correspondence of syntactic and semantic relations for the WSD process may lead to an accurate conversion to CDL.

Original language	English
Title of host publication	Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010
Pages	478-486
Number of pages	9
DOIs	https://doi.org/10.1109/ICSC.2010.66
Publication status	Published - 2010
Externally published	Yes
Event	4th IEEE International Conference on Semantic Computing, ICSC 2010 - Pittsburgh, PA Duration: 2010 Sept 22 → 2010 Sept 24

Other

Other	4th IEEE International Conference on Semantic Computing, ICSC 2010
City	Pittsburgh, PA
Period	10/9/22 → 10/9/24

Keywords

Concept description
Natural language text
Semantic computing

ASJC Scopus subject areas

Computational Theory and Mathematics
Theoretical Computer Science

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10.1109/ICSC.2010.66

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Tacoa, F, Uchida, H & Ishizuka, M 2010, A word sense disambiguation approach for converting natural language text into a common semantic description. in Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010., 5629030, pp. 478-486, 4th IEEE International Conference on Semantic Computing, ICSC 2010, Pittsburgh, PA, 10/9/22. https://doi.org/10.1109/ICSC.2010.66

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title = "A word sense disambiguation approach for converting natural language text into a common semantic description",

abstract = "Concept Description Language (CDL) is a common language that represents the semantics of content in a simple and structured manner. In particular, it is intended to describe Natural Language (NL) texts in a format that can be understood and processed by computers. Since words with multiple meanings can be found from texts, it becomes necessary to perform Word Sense Disambiguation (WSD) in order to achieve a correct representation. This paper presents a WSD approach that determines best candidates for word meanings and contributes to a semi-automatic conversion of NL into CDL. We perform preliminary experiments by evaluating the approach with some test sentences and comparing with other WSD methods. Results suggest that the existence of a proper correspondence of syntactic and semantic relations for the WSD process may lead to an accurate conversion to CDL.",

keywords = "Concept description, Natural language text, Semantic computing",

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year = "2010",

doi = "10.1109/ICSC.2010.66",

language = "English",

isbn = "9780769541549",

pages = "478--486",

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note = "4th IEEE International Conference on Semantic Computing, ICSC 2010 ; Conference date: 22-09-2010 Through 24-09-2010",

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AU - Tacoa, Francisco

AU - Uchida, Hiroshi

AU - Ishizuka, Mitsuru

PY - 2010

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N2 - Concept Description Language (CDL) is a common language that represents the semantics of content in a simple and structured manner. In particular, it is intended to describe Natural Language (NL) texts in a format that can be understood and processed by computers. Since words with multiple meanings can be found from texts, it becomes necessary to perform Word Sense Disambiguation (WSD) in order to achieve a correct representation. This paper presents a WSD approach that determines best candidates for word meanings and contributes to a semi-automatic conversion of NL into CDL. We perform preliminary experiments by evaluating the approach with some test sentences and comparing with other WSD methods. Results suggest that the existence of a proper correspondence of syntactic and semantic relations for the WSD process may lead to an accurate conversion to CDL.

AB - Concept Description Language (CDL) is a common language that represents the semantics of content in a simple and structured manner. In particular, it is intended to describe Natural Language (NL) texts in a format that can be understood and processed by computers. Since words with multiple meanings can be found from texts, it becomes necessary to perform Word Sense Disambiguation (WSD) in order to achieve a correct representation. This paper presents a WSD approach that determines best candidates for word meanings and contributes to a semi-automatic conversion of NL into CDL. We perform preliminary experiments by evaluating the approach with some test sentences and comparing with other WSD methods. Results suggest that the existence of a proper correspondence of syntactic and semantic relations for the WSD process may lead to an accurate conversion to CDL.

KW - Concept description

KW - Natural language text

KW - Semantic computing

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DO - 10.1109/ICSC.2010.66

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BT - Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010

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A word sense disambiguation approach for converting natural language text into a common semantic description

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Keywords

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