Unsupervised lexicon acquisition for HPSG-based relation extraction

Benjamin Rozenfeld; Ronen Feldman

doi:https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316

Unsupervised lexicon acquisition for HPSG-based relation extraction

Benjamin Rozenfeld, Ronen Feldman

BA Business Department

The Hebrew University of Jerusalem

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

Abstract

The paper describes a method of relation extraction, which is based on parsing the input text using a combination of a generic HPSG-based grammar and a highly focused domain- and relation-specific lexicon. We also show a method of unsupervised acquisition of such a lexicon from a large unlabeled corpus. Together, the methods introduce a novel approach to the "Open IE" task, which is superior in accuracy and in quality of relation identification to the existing approaches.

Original language	English
Title of host publication	IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence
Pages	1890-1895
Number of pages	6
DOIs	https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316
State	Published - 2011
Event	22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 - Barcelona, Catalonia, Spain Duration: 16 Jul 2011 → 22 Jul 2011

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence

Conference

Conference	22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
Country/Territory	Spain
City	Barcelona, Catalonia
Period	16/07/11 → 22/07/11

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Access to Document

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316

Cite this

@inproceedings{83f49f40a9cf40a48e4b6f61a6180741,

title = "Unsupervised lexicon acquisition for HPSG-based relation extraction",

abstract = "The paper describes a method of relation extraction, which is based on parsing the input text using a combination of a generic HPSG-based grammar and a highly focused domain- and relation-specific lexicon. We also show a method of unsupervised acquisition of such a lexicon from a large unlabeled corpus. Together, the methods introduce a novel approach to the {"}Open IE{"} task, which is superior in accuracy and in quality of relation identification to the existing approaches.",

author = "Benjamin Rozenfeld and Ronen Feldman",

year = "2011",

doi = "https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316",

language = "الإنجليزيّة",

isbn = "9781577355120",

series = "IJCAI International Joint Conference on Artificial Intelligence",

pages = "1890--1895",

booktitle = "IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence",

note = "22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 ; Conference date: 16-07-2011 Through 22-07-2011",

}

Rozenfeld, B & Feldman, R 2011, Unsupervised lexicon acquisition for HPSG-based relation extraction. in IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. IJCAI International Joint Conference on Artificial Intelligence, pp. 1890-1895, 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011, Barcelona, Catalonia, Spain, 16/07/11. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316

Unsupervised lexicon acquisition for HPSG-based relation extraction. / Rozenfeld, Benjamin; Feldman, Ronen.
IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. 2011. p. 1890-1895 (IJCAI International Joint Conference on Artificial Intelligence).

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

TY - GEN

T1 - Unsupervised lexicon acquisition for HPSG-based relation extraction

AU - Rozenfeld, Benjamin

AU - Feldman, Ronen

PY - 2011

Y1 - 2011

N2 - The paper describes a method of relation extraction, which is based on parsing the input text using a combination of a generic HPSG-based grammar and a highly focused domain- and relation-specific lexicon. We also show a method of unsupervised acquisition of such a lexicon from a large unlabeled corpus. Together, the methods introduce a novel approach to the "Open IE" task, which is superior in accuracy and in quality of relation identification to the existing approaches.

AB - The paper describes a method of relation extraction, which is based on parsing the input text using a combination of a generic HPSG-based grammar and a highly focused domain- and relation-specific lexicon. We also show a method of unsupervised acquisition of such a lexicon from a large unlabeled corpus. Together, the methods introduce a novel approach to the "Open IE" task, which is superior in accuracy and in quality of relation identification to the existing approaches.

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DO - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316

M3 - منشور من مؤتمر

SN - 9781577355120

T3 - IJCAI International Joint Conference on Artificial Intelligence

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EP - 1895

BT - IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence

T2 - 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

Y2 - 16 July 2011 through 22 July 2011

ER -

Unsupervised lexicon acquisition for HPSG-based relation extraction

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

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