Chinese typed collocation extraction using corpus-based syntactic collocation patterns

Wanyin Li; Qin Lu; James Liu

doi:10.1109/NLPKE.2007.4368039

Chinese typed collocation extraction using corpus-based syntactic collocation patterns

Wanyin Li, Qin Lu, James Liu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

Collocations play significant role in many application and extraction them automatically is useful in NLP. Syntactic-based phrase patterns used in collocation extraction have brought advantages due to the well-formedness of results and automatically classifying the candidates into syntactically congeneric categories. However, due to the language independency, the arbitrary choice of syntactic patterns for target collocations brings drawbacks for evaluation as well as adaptation for a new language. This work presents a corpus-driven framework to generate collocation templates for nouns and verbs phrase at first and then integrate them with statistical association measures for noun/verb phrase collocation extraction, namely typed collocation extraction. The experiment results show a higher average precision of 84.80% and a so called local recall value of 55.99% based on a randomly selected noun and verb headwords.

Original language	English
Title of host publication	IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering
Pages	248-255
Number of pages	8
DOIs	https://doi.org/10.1109/NLPKE.2007.4368039
Publication status	Published - 1 Dec 2007
Event	International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007 - Beijing, China Duration: 30 Aug 2007 → 1 Sep 2007

Conference

Conference	International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007
Country/Territory	China
City	Beijing
Period	30/08/07 → 1/09/07

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Information Systems and Management

More information

10.1109/NLPKE.2007.4368039

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@inproceedings{032ec06bb2e44470a326afb18fb246c3,

title = "Chinese typed collocation extraction using corpus-based syntactic collocation patterns",

abstract = "Collocations play significant role in many application and extraction them automatically is useful in NLP. Syntactic-based phrase patterns used in collocation extraction have brought advantages due to the well-formedness of results and automatically classifying the candidates into syntactically congeneric categories. However, due to the language independency, the arbitrary choice of syntactic patterns for target collocations brings drawbacks for evaluation as well as adaptation for a new language. This work presents a corpus-driven framework to generate collocation templates for nouns and verbs phrase at first and then integrate them with statistical association measures for noun/verb phrase collocation extraction, namely typed collocation extraction. The experiment results show a higher average precision of 84.80% and a so called local recall value of 55.99% based on a randomly selected noun and verb headwords.",

author = "Wanyin Li and Qin Lu and James Liu",

year = "2007",

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day = "1",

doi = "10.1109/NLPKE.2007.4368039",

language = "English",

isbn = "9781424416103",

pages = "248--255",

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note = "International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007 ; Conference date: 30-08-2007 Through 01-09-2007",

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Li, W, Lu, Q & Liu, J 2007, Chinese typed collocation extraction using corpus-based syntactic collocation patterns. in IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering., 4368039, pp. 248-255, International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007, Beijing, China, 30/08/07. https://doi.org/10.1109/NLPKE.2007.4368039

Chinese typed collocation extraction using corpus-based syntactic collocation patterns. / Li, Wanyin; Lu, Qin; Liu, James.

IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering. 2007. p. 248-255 4368039.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Chinese typed collocation extraction using corpus-based syntactic collocation patterns

AU - Li, Wanyin

AU - Lu, Qin

AU - Liu, James

PY - 2007/12/1

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N2 - Collocations play significant role in many application and extraction them automatically is useful in NLP. Syntactic-based phrase patterns used in collocation extraction have brought advantages due to the well-formedness of results and automatically classifying the candidates into syntactically congeneric categories. However, due to the language independency, the arbitrary choice of syntactic patterns for target collocations brings drawbacks for evaluation as well as adaptation for a new language. This work presents a corpus-driven framework to generate collocation templates for nouns and verbs phrase at first and then integrate them with statistical association measures for noun/verb phrase collocation extraction, namely typed collocation extraction. The experiment results show a higher average precision of 84.80% and a so called local recall value of 55.99% based on a randomly selected noun and verb headwords.

AB - Collocations play significant role in many application and extraction them automatically is useful in NLP. Syntactic-based phrase patterns used in collocation extraction have brought advantages due to the well-formedness of results and automatically classifying the candidates into syntactically congeneric categories. However, due to the language independency, the arbitrary choice of syntactic patterns for target collocations brings drawbacks for evaluation as well as adaptation for a new language. This work presents a corpus-driven framework to generate collocation templates for nouns and verbs phrase at first and then integrate them with statistical association measures for noun/verb phrase collocation extraction, namely typed collocation extraction. The experiment results show a higher average precision of 84.80% and a so called local recall value of 55.99% based on a randomly selected noun and verb headwords.

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M3 - Conference article published in proceeding or book

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BT - IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering

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ER -

Chinese typed collocation extraction using corpus-based syntactic collocation patterns

Abstract

Conference

ASJC Scopus subject areas

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