Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction

Mian Du; Roman Yangarber

Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction

Tietojenkäsittelytieteen osasto

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

Single-document summarization aims to reduce the size of a text document while preserving the most important information. Much work has been done on open-domain summarization. This paper presents an automatic way to mine domain-specific patterns from text documents. With a small amount of effort required for manual selection, these patterns can be used for domain-specific scenario-based document summarization and information extraction. Our evaluation shows that scenario-based document summarization can both filter irrelevant documents and create summaries for relevant documents within the specified domain.

Alkuperäiskieli	englanti
Otsikko	Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015
Toimittajat	Yimin Zhou
Sivumäärä	10
Kustantaja	The Society of Digital Information and Wireless Communications (SDIWC)
Julkaisupäivä	17 huhtik. 2015
ISBN (elektroninen)	978-1-941968-09-3
Tila	Julkaistu - 17 huhtik. 2015
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Conference on Artificial Intelligence and Pattern Recognition - ShenZhen, Kiina Kesto: 16 huhtik. 2015 → 18 huhtik. 2015 Konferenssinumero: 2 (AIPR2015)

Lisätietoja

AIPR 2015.

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

2015-aipr-patternsHyväksytty kirjoittajan käsikirjoitus, 651 KB

LLL: Language Learning Lab
Yangarber, R. (Projektinjohtaja), Katinskaia, A. (Osallistuja), Hou, J. (Osallistuja), Furlan, G. (Osallistuja) & Kylliäinen, I. P. (Osallistuja)
Projekti: Tutkimusprojekti

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@inproceedings{62c4e550d7774234ba8b46874ee2f5b2,

title = "Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction",

abstract = "Single-document summarization aims to reduce the size of a text document while preserving the most important information. Much work has been done on open-domain summarization. This paper presents an automatic way to mine domain-specific patterns from text documents. With a small amount of effort required for manual selection, these patterns can be used for domain-specific scenario-based document summarization and information extraction. Our evaluation shows that scenario-based document summarization can both filter irrelevant documents and create summaries for relevant documents within the specified domain.",

keywords = "113 Computer and information sciences, Information Extraction, Machine learning, Data Mining",

author = "Mian Du and Roman Yangarber",

note = "AIPR 2015. ; International Conference on Artificial Intelligence and Pattern Recognition ; Conference date: 16-04-2015 Through 18-04-2015",

year = "2015",

month = apr,

day = "17",

language = "English",

editor = "Zhou, { Yimin}",

booktitle = "Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015",

publisher = "The Society of Digital Information and Wireless Communications (SDIWC) ",

address = "International",

}

Du, M & Yangarber, R 2015, Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction. julkaisussa Y Zhou (Toimittaja), Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015. The Society of Digital Information and Wireless Communications (SDIWC) , International Conference on Artificial Intelligence and Pattern Recognition, ShenZhen, Kiina, 16/04/2015.

Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction. / Du, Mian; Yangarber, Roman.
Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015. toim. / Yimin Zhou. The Society of Digital Information and Wireless Communications (SDIWC) , 2015.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction

AU - Du, Mian

AU - Yangarber, Roman

N1 - Conference code: 2 (AIPR2015)

PY - 2015/4/17

Y1 - 2015/4/17

N2 - Single-document summarization aims to reduce the size of a text document while preserving the most important information. Much work has been done on open-domain summarization. This paper presents an automatic way to mine domain-specific patterns from text documents. With a small amount of effort required for manual selection, these patterns can be used for domain-specific scenario-based document summarization and information extraction. Our evaluation shows that scenario-based document summarization can both filter irrelevant documents and create summaries for relevant documents within the specified domain.

AB - Single-document summarization aims to reduce the size of a text document while preserving the most important information. Much work has been done on open-domain summarization. This paper presents an automatic way to mine domain-specific patterns from text documents. With a small amount of effort required for manual selection, these patterns can be used for domain-specific scenario-based document summarization and information extraction. Our evaluation shows that scenario-based document summarization can both filter irrelevant documents and create summaries for relevant documents within the specified domain.

KW - 113 Computer and information sciences

KW - Information Extraction

KW - Machine learning

KW - Data Mining

M3 - Conference contribution

BT - Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015

A2 - Zhou, Yimin

PB - The Society of Digital Information and Wireless Communications (SDIWC)

T2 - International Conference on Artificial Intelligence and Pattern Recognition

Y2 - 16 April 2015 through 18 April 2015

ER -

Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction

Abstrakti

Lisätietoja

Tieteenalat

Pääsy asiakirjaan

Projektit

LLL: Language Learning Lab

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