Forming an Integrated Lexical Resource for Word Sense Disambiguation

Oi Yee Kwong

Forming an Integrated Lexical Resource for Word Sense Disambiguation

Oi Yee Kwong

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

This paper reports a full-scale linkage of noun senses between two existing lexical resources, namely WordNet and Roget's Thesaurus, to form an Integrated Lexical Resource (ILR) for use in natural language processing (NLP). The linkage was founded on a structurally-based sense-mapping algorithm. About 18,000 nouns with over 30,000 senses were mapped. Although exhaustive verification is impractical, we show that it is reasonable to expect some 70-80% accuracy of the resultant mappings. More importantly, the ILR, which contains enriched lexical information, is readily usable in many NLP tasks. We shall explore some practical use of the ILR in word sense disambiguation (WSD), as WSD notably requires a wide range of lexical information. © 2001 City University of Hong Kong.

Original language	English
Title of host publication	Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001
Publisher	City University of Hong Kong
Pages	109-120
ISBN (Print)	9624421846, 9789624421842
Publication status	Published - 2001
Event	15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001 - Hong Kong, Hong Kong, China Duration: 1 Feb 2001 → 3 Feb 2001 https://aclanthology.org/Y01-1/

Publication series

Name	Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001

Conference

Conference	15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001
Place	Hong Kong, China
City	Hong Kong
Period	1/02/01 → 3/02/01
Internet address	https://aclanthology.org/Y01-1/

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was done at the Computer Laboratory, University of Cambridge. The author would like to thank Prof. Karen Sparck Jones for her advice and comments. The work was financially supported by the Committee of Vice-Chancellors and Principals of the Universities of the United Kingdom, the Cambridge Commonwealth Trust, Downing College, and the Croucher Foundation.

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{46e5b67dc2864572862b7a9563cb5434,

title = "Forming an Integrated Lexical Resource for Word Sense Disambiguation",

abstract = "This paper reports a full-scale linkage of noun senses between two existing lexical resources, namely WordNet and Roget's Thesaurus, to form an Integrated Lexical Resource (ILR) for use in natural language processing (NLP). The linkage was founded on a structurally-based sense-mapping algorithm. About 18,000 nouns with over 30,000 senses were mapped. Although exhaustive verification is impractical, we show that it is reasonable to expect some 70-80\% accuracy of the resultant mappings. More importantly, the ILR, which contains enriched lexical information, is readily usable in many NLP tasks. We shall explore some practical use of the ILR in word sense disambiguation (WSD), as WSD notably requires a wide range of lexical information. {\textcopyright} 2001 City University of Hong Kong.",

author = "Kwong, \{Oi Yee\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001 ; Conference date: 01-02-2001 Through 03-02-2001",

year = "2001",

language = "English",

isbn = "9624421846",

series = "Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001",

publisher = "City University of Hong Kong",

pages = "109--120",

booktitle = "Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001",

url = "https://aclanthology.org/Y01-1/",

}

Kwong, OY 2001, Forming an Integrated Lexical Resource for Word Sense Disambiguation. in Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001. Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001, City University of Hong Kong, pp. 109-120, 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001, Hong Kong, Hong Kong, China, 1/02/01.

Forming an Integrated Lexical Resource for Word Sense Disambiguation. / Kwong, Oi Yee.
Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001. City University of Hong Kong, 2001. p. 109-120 (Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Forming an Integrated Lexical Resource for Word Sense Disambiguation

AU - Kwong, Oi Yee

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2001

Y1 - 2001

N2 - This paper reports a full-scale linkage of noun senses between two existing lexical resources, namely WordNet and Roget's Thesaurus, to form an Integrated Lexical Resource (ILR) for use in natural language processing (NLP). The linkage was founded on a structurally-based sense-mapping algorithm. About 18,000 nouns with over 30,000 senses were mapped. Although exhaustive verification is impractical, we show that it is reasonable to expect some 70-80% accuracy of the resultant mappings. More importantly, the ILR, which contains enriched lexical information, is readily usable in many NLP tasks. We shall explore some practical use of the ILR in word sense disambiguation (WSD), as WSD notably requires a wide range of lexical information. © 2001 City University of Hong Kong.

AB - This paper reports a full-scale linkage of noun senses between two existing lexical resources, namely WordNet and Roget's Thesaurus, to form an Integrated Lexical Resource (ILR) for use in natural language processing (NLP). The linkage was founded on a structurally-based sense-mapping algorithm. About 18,000 nouns with over 30,000 senses were mapped. Although exhaustive verification is impractical, we show that it is reasonable to expect some 70-80% accuracy of the resultant mappings. More importantly, the ILR, which contains enriched lexical information, is readily usable in many NLP tasks. We shall explore some practical use of the ILR in word sense disambiguation (WSD), as WSD notably requires a wide range of lexical information. © 2001 City University of Hong Kong.

UR - http://www.scopus.com/inward/record.url?scp=105042313380&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105042313380&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9624421846

SN - 9789624421842

T3 - Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001

SP - 109

EP - 120

BT - Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001

PB - City University of Hong Kong

T2 - 15th Pacific Asia Conference on Language, Information and Computation, PACLIC 2001

Y2 - 1 February 2001 through 3 February 2001

ER -

Forming an Integrated Lexical Resource for Word Sense Disambiguation

Abstract

Publication series

Conference

Bibliographical note

Funding

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this