Automatic Chinese Multi-Word Term Extraction

Narisong; Zhiwei Feng; Chunyu Kit

doi:10.1109/ALPIT.2008.111

Automatic Chinese Multi-Word Term Extraction

Narisong^*
, Zhiwei Feng
, Chunyu Kit

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

We present a new method that extracts multi-word terms through two steps. As input, our technique requires only part of speech tagged texts and a handful of seed words. We use an automatic learning algorithm to select the best extraction single-word terms and take these extraction results of single-word terms as term parts of the multi-word terms to extraction the multi-word terms, the experiment obtains the very well result.

Original language	English
Title of host publication	2008 International Conference on Advanced Language Processing and Web Information Technology
Publisher	IEEE
Pages	181-184
ISBN (Print)	9780769532738
DOIs	https://doi.org/10.1109/ALPIT.2008.111
Publication status	Published - 2008
Externally published	Yes
Event	ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology - Liaoning, China Duration: 23 Jul 2008 → 25 Jul 2008

Conference

Conference	ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology
Place	China
City	Liaoning
Period	23/07/08 → 25/07/08

Research Keywords

multi-word term extraction
bootstrapping
legal term

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10.1109/ALPIT.2008.111

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@inproceedings{d3e9916790014bd4bcff5b018b74ea34,

title = "Automatic Chinese Multi-Word Term Extraction",

abstract = "We present a new method that extracts multi-word terms through two steps. As input, our technique requires only part of speech tagged texts and a handful of seed words. We use an automatic learning algorithm to select the best extraction single-word terms and take these extraction results of single-word terms as term parts of the multi-word terms to extraction the multi-word terms, the experiment obtains the very well result. ",

keywords = "multi-word term extraction, bootstrapping, legal term",

author = "Narisong and Zhiwei Feng and Chunyu Kit",

year = "2008",

doi = "10.1109/ALPIT.2008.111",

language = "English",

isbn = "9780769532738",

pages = "181--184",

booktitle = "2008 International Conference on Advanced Language Processing and Web Information Technology",

publisher = "IEEE",

address = "United States",

note = "ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology ; Conference date: 23-07-2008 Through 25-07-2008",

}

Narisong, Feng, Z & Kit, C 2008, Automatic Chinese Multi-Word Term Extraction. in 2008 International Conference on Advanced Language Processing and Web Information Technology., 4584363, IEEE, pp. 181-184, ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology, Liaoning, China, 23/07/08. https://doi.org/10.1109/ALPIT.2008.111

TY - GEN

T1 - Automatic Chinese Multi-Word Term Extraction

AU - Narisong, null

AU - Feng, Zhiwei

AU - Kit, Chunyu

PY - 2008

Y1 - 2008

N2 - We present a new method that extracts multi-word terms through two steps. As input, our technique requires only part of speech tagged texts and a handful of seed words. We use an automatic learning algorithm to select the best extraction single-word terms and take these extraction results of single-word terms as term parts of the multi-word terms to extraction the multi-word terms, the experiment obtains the very well result.

AB - We present a new method that extracts multi-word terms through two steps. As input, our technique requires only part of speech tagged texts and a handful of seed words. We use an automatic learning algorithm to select the best extraction single-word terms and take these extraction results of single-word terms as term parts of the multi-word terms to extraction the multi-word terms, the experiment obtains the very well result.

KW - multi-word term extraction

KW - bootstrapping

KW - legal term

UR - https://www.scopus.com/pages/publications/51949109243

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-51949109243&origin=recordpage

U2 - 10.1109/ALPIT.2008.111

DO - 10.1109/ALPIT.2008.111

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

SN - 9780769532738

SP - 181

EP - 184

BT - 2008 International Conference on Advanced Language Processing and Web Information Technology

PB - IEEE

T2 - ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology

Y2 - 23 July 2008 through 25 July 2008

ER -

Automatic Chinese Multi-Word Term Extraction

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Research Keywords

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