Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations

Oskar Gross; Antoine Doucet; Hannu Tauno Tapani Toivonen

doi:10.1145/2851613.2851647

Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations

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

Abstrakti

The goal of automatic text summarization is to generate an abstract of a document or a set of documents. In this paper we propose a
word association based method for generating summaries in a variety of
languages. We show that a robust statistical method for finding associations
which are specific to the given document(s) is applicable to many languages.
We introduce strategies that utilize the discovered associations
to effectively select sentences from the document(s) to constitute the summary.
Empirical results indicate that the method works
reliably in a relatively large set of languages and outperforms methods reported
in MultiLing 2013.

Alkuperäiskieli	englanti
Otsikko	SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing
Sivumäärä	8
Julkaisupaikka	New York, NY
Kustantaja	ACM, Association for Computing Machinery
Julkaisupäivä	2016
Sivut	853-860
ISBN (painettu)	978-1-4503-3739-7
DOI - pysyväislinkit	https://doi.org/10.1145/2851613.2851647
Tila	Julkaistu - 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	ACM Symposium on Applied Computing - Pisa, Italia Kesto: 4 huhtik. 2016 → 8 huhtik. 2016 Konferenssinumero: 31

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

10.1145/2851613.2851647

https://www.cs.helsinki.fi/u/htoivone/pubs/summarization_SAC_2016.pdf

Muut tiedostot ja linkit

http://oldwww.acm.org/conferences/sac/sac2016/

1 Päättynyt

ConCreTe: Concept Creation Technology (ConCreTe)
Toivonen, H. T. (Projektinjohtaja), Xiao, P. (Osallistuja), Toivanen, J. (Osallistuja), Gross, O. (Osallistuja), Linkola, S. (Osallistuja) & Kantosalo, A. (Osallistuja)
01/10/2013 → 30/09/2016
Projekti: Tutkimusprojekti

Siteeraa tätä

@inproceedings{eb59c49e69e24e63b36369848373d51a,

title = "Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations",

abstract = "The goal of automatic text summarization is to generate an abstract of a document or a set of documents. In this paper we propose a word association based method for generating summaries in a variety of languages. We show that a robust statistical method for finding associations which are specific to the given document(s) is applicable to many languages. We introduce strategies that utilize the discovered associations to effectively select sentences from the document(s) to constitute the summary. Empirical results indicate that the method works reliably in a relatively large set of languages and outperforms methods reported in MultiLing 2013. ",

keywords = "113 Computer and information sciences",

author = "Oskar Gross and Antoine Doucet and Toivonen, \{Hannu Tauno Tapani\}",

year = "2016",

doi = "10.1145/2851613.2851647",

language = "English",

isbn = "978-1-4503-3739-7",

pages = "853--860",

booktitle = "SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing",

publisher = "ACM, Association for Computing Machinery",

address = "United States",

note = "ACM Symposium on Applied Computing ; Conference date: 04-04-2016 Through 08-04-2016",

}

Gross, O, Doucet, A & Toivonen, HTT 2016, Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations. julkaisussa SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing . ACM, Association for Computing Machinery, New York, NY, Sivut 853-860, ACM Symposium on Applied Computing, Pisa, Italia, 04/04/2016. https://doi.org/10.1145/2851613.2851647

Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations. / Gross, Oskar; Doucet, Antoine ; Toivonen, Hannu Tauno Tapani.
SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing . New York, NY: ACM, Association for Computing Machinery, 2016. s. 853-860.

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

TY - GEN

T1 - Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations

AU - Gross, Oskar

AU - Doucet, Antoine

AU - Toivonen, Hannu Tauno Tapani

N1 - Conference code: 31

PY - 2016

Y1 - 2016

N2 - The goal of automatic text summarization is to generate an abstract of a document or a set of documents. In this paper we propose a word association based method for generating summaries in a variety of languages. We show that a robust statistical method for finding associations which are specific to the given document(s) is applicable to many languages. We introduce strategies that utilize the discovered associations to effectively select sentences from the document(s) to constitute the summary. Empirical results indicate that the method works reliably in a relatively large set of languages and outperforms methods reported in MultiLing 2013.

AB - The goal of automatic text summarization is to generate an abstract of a document or a set of documents. In this paper we propose a word association based method for generating summaries in a variety of languages. We show that a robust statistical method for finding associations which are specific to the given document(s) is applicable to many languages. We introduce strategies that utilize the discovered associations to effectively select sentences from the document(s) to constitute the summary. Empirical results indicate that the method works reliably in a relatively large set of languages and outperforms methods reported in MultiLing 2013.

KW - 113 Computer and information sciences

UR - http://oldwww.acm.org/conferences/sac/sac2016/

U2 - 10.1145/2851613.2851647

DO - 10.1145/2851613.2851647

M3 - Conference contribution

SN - 978-1-4503-3739-7

SP - 853

EP - 860

BT - SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing

PB - ACM, Association for Computing Machinery

CY - New York, NY

T2 - ACM Symposium on Applied Computing

Y2 - 4 April 2016 through 8 April 2016

ER -

Language-Independent Multi-Document Text Summarization with Document-Specific Word Associations

Abstrakti

Tieteenalat

Pääsy asiakirjaan

Muut tiedostot ja linkit

Projektit

ConCreTe: Concept Creation Technology (ConCreTe)

Siteeraa tätä