Predicting relevant news events for timeline summaries

Giang Binh Tran; Mohammad Alrifai; Dat Quoc Nguyen

Predicting relevant news events for timeline summaries

Giang Binh Tran, Mohammad Alrifai, Dat Quoc Nguyen

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

Abstract

This paper presents a framework for automatically constructing timeline summaries from collections of web news articles. We also evaluate our solution against manually created timelines and in comparison with related work.

Original language	English
Title of host publication	WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	91-92
Number of pages	2
ISBN (Print)	9781450320382
Publication status	Published - 2013
Externally published	Yes
Event	22nd International Conference on World Wide Web, WWW 2013 - Rio de Janeiro, Brazil Duration: 13 May 2013 → 17 May 2013

Other

Other	22nd International Conference on World Wide Web, WWW 2013
Country/Territory	Brazil
City	Rio de Janeiro
Period	13/05/13 → 17/05/13

Keywords

News events
Summarization
Supervised
Timeline

Cite this

@inproceedings{0f85b92b651e431cba23eaaff962f12c,

title = "Predicting relevant news events for timeline summaries",

abstract = "This paper presents a framework for automatically constructing timeline summaries from collections of web news articles. We also evaluate our solution against manually created timelines and in comparison with related work.",

keywords = "News events, Summarization, Supervised, Timeline",

author = "Tran, {Giang Binh} and Mohammad Alrifai and Nguyen, {Dat Quoc}",

year = "2013",

language = "English",

isbn = "9781450320382",

pages = "91--92",

booktitle = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "22nd International Conference on World Wide Web, WWW 2013 ; Conference date: 13-05-2013 Through 17-05-2013",

}

Predicting relevant news events for timeline summaries. / Tran, Giang Binh; Alrifai, Mohammad; Nguyen, Dat Quoc.
WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web. New York: Association for Computing Machinery (ACM), 2013. p. 91-92.

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

TY - GEN

T1 - Predicting relevant news events for timeline summaries

AU - Tran, Giang Binh

AU - Alrifai, Mohammad

AU - Nguyen, Dat Quoc

PY - 2013

Y1 - 2013

N2 - This paper presents a framework for automatically constructing timeline summaries from collections of web news articles. We also evaluate our solution against manually created timelines and in comparison with related work.

AB - This paper presents a framework for automatically constructing timeline summaries from collections of web news articles. We also evaluate our solution against manually created timelines and in comparison with related work.

KW - News events

KW - Summarization

KW - Supervised

KW - Timeline

UR - http://www.scopus.com/inward/record.url?scp=84893139941&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:84893139941

SN - 9781450320382

SP - 91

EP - 92

BT - WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - 22nd International Conference on World Wide Web, WWW 2013

Y2 - 13 May 2013 through 17 May 2013

ER -

Predicting relevant news events for timeline summaries

Abstract

Other

Keywords

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Cite this