A novel feature-based approach to Chinese entity relation extraction

Wenjie Li; Peng Zhang; Furu Wei; Yuexian Hou; Qin Lu

A novel feature-based approach to Chinese entity relation extraction

Wenjie Li, Peng Zhang, Furu Wei, Yuexian Hou, Qin Lu

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

37 Citations (Scopus)

Abstract

Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach is effective when evaluated on the ACE 2005 Chinese data set.

Original language	English
Title of host publication	ACL-08
Subtitle of host publication	HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference
Pages	89-92
Number of pages	4
Publication status	Published - 1 Dec 2008
Event	46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT - Columbus, OH, United States Duration: 15 Jun 2008 → 20 Jun 2008

Conference

Conference	46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT
Country/Territory	United States
City	Columbus, OH
Period	15/06/08 → 20/06/08

ASJC Scopus subject areas

Language and Linguistics
Computer Networks and Communications
Linguistics and Language

Cite this

@inproceedings{f2661ddae99e4306abb9b070d6ef4378,

title = "A novel feature-based approach to Chinese entity relation extraction",

abstract = "Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach is effective when evaluated on the ACE 2005 Chinese data set.",

author = "Wenjie Li and Peng Zhang and Furu Wei and Yuexian Hou and Qin Lu",

year = "2008",

month = dec,

day = "1",

language = "English",

isbn = "9781932432046",

pages = "89--92",

booktitle = "ACL-08",

note = "46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT ; Conference date: 15-06-2008 Through 20-06-2008",

}

Li, W, Zhang, P, Wei, F, Hou, Y & Lu, Q 2008, A novel feature-based approach to Chinese entity relation extraction. in ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. pp. 89-92, 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT, Columbus, OH, United States, 15/06/08.

A novel feature-based approach to Chinese entity relation extraction. / Li, Wenjie; Zhang, Peng; Wei, Furu et al.
ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 2008. p. 89-92.

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

TY - GEN

T1 - A novel feature-based approach to Chinese entity relation extraction

AU - Li, Wenjie

AU - Zhang, Peng

AU - Wei, Furu

AU - Hou, Yuexian

AU - Lu, Qin

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach is effective when evaluated on the ACE 2005 Chinese data set.

AB - Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach is effective when evaluated on the ACE 2005 Chinese data set.

UR - http://www.scopus.com/inward/record.url?scp=70449852605&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 9781932432046

SP - 89

EP - 92

BT - ACL-08

T2 - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT

Y2 - 15 June 2008 through 20 June 2008

ER -

A novel feature-based approach to Chinese entity relation extraction

Abstract

Conference

ASJC Scopus subject areas

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