Macquarie University at DUC 2006: question answering for summarisation

Diego Mollá; Stephen Wan

Macquarie University at DUC 2006: question answering for summarisation

Diego Mollá, Stephen Wan

School of Computing

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

31 Downloads (Pure)

Abstract

We present an approach to summarisation based on the use of a question answering system to select the most relevant sentences. We used AnswerFinder, a question answering system that is being developed at Macquarie University. The sentences returned by AnswerFinder are further re-ranked and collated to produce the final summary. This system will serve as a baseline upon which we intend to develop methods more specific to the task of question driven summarisation.

Original language	English
Title of host publication	Proceedings of the document understanding conference 2006
Editors	Hoa Dang, Donna Harman
Place of Publication	Gaithersburg, MD
Publisher	National Institute of Standards and Technology
Pages	62-69
Number of pages	8
Publication status	Published - 2006
Event	Document understanding workshop 2006 - New York Duration: 8 Jun 2006 → 9 Jun 2006

Workshop

Workshop	Document understanding workshop 2006
City	New York
Period	8/06/06 → 9/06/06

Bibliographical note

Version archived for private and non-commercial use with the permission of the author and according to publisher conditions. For further reproduction rights please contact the publisher at http://duc.nist.gov/.

Access to Document

Publisher version (open access)Final published version, 113 KBLicence: Unspecified

http://duc.nist.gov/pubs/2006papers/MQ06.pdf

Cite this

@inproceedings{4277dd1026d44cf5835c67544f29943d,

title = "Macquarie University at DUC 2006: question answering for summarisation",

abstract = "We present an approach to summarisation based on the use of a question answering system to select the most relevant sentences. We used AnswerFinder, a question answering system that is being developed at Macquarie University. The sentences returned by AnswerFinder are further re-ranked and collated to produce the final summary. This system will serve as a baseline upon which we intend to develop methods more specific to the task of question driven summarisation.",

author = "Diego Moll{\'a} and Stephen Wan",

note = "Version archived for private and non-commercial use with the permission of the author and according to publisher conditions. For further reproduction rights please contact the publisher at http://duc.nist.gov/.; Document understanding workshop 2006 ; Conference date: 08-06-2006 Through 09-06-2006",

year = "2006",

language = "English",

pages = "62--69",

editor = "Hoa Dang and Donna Harman",

booktitle = "Proceedings of the document understanding conference 2006",

publisher = "National Institute of Standards and Technology",

address = "United States",

}

Macquarie University at DUC 2006: question answering for summarisation. / Mollá, Diego; Wan, Stephen.
Proceedings of the document understanding conference 2006. ed. / Hoa Dang; Donna Harman. Gaithersburg, MD: National Institute of Standards and Technology, 2006. p. 62-69.

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

TY - GEN

T1 - Macquarie University at DUC 2006

T2 - Document understanding workshop 2006

AU - Mollá, Diego

AU - Wan, Stephen

N1 - Version archived for private and non-commercial use with the permission of the author and according to publisher conditions. For further reproduction rights please contact the publisher at http://duc.nist.gov/.

PY - 2006

Y1 - 2006

N2 - We present an approach to summarisation based on the use of a question answering system to select the most relevant sentences. We used AnswerFinder, a question answering system that is being developed at Macquarie University. The sentences returned by AnswerFinder are further re-ranked and collated to produce the final summary. This system will serve as a baseline upon which we intend to develop methods more specific to the task of question driven summarisation.

AB - We present an approach to summarisation based on the use of a question answering system to select the most relevant sentences. We used AnswerFinder, a question answering system that is being developed at Macquarie University. The sentences returned by AnswerFinder are further re-ranked and collated to produce the final summary. This system will serve as a baseline upon which we intend to develop methods more specific to the task of question driven summarisation.

M3 - Conference proceeding contribution

SP - 62

EP - 69

BT - Proceedings of the document understanding conference 2006

A2 - Dang, Hoa

A2 - Harman, Donna

PB - National Institute of Standards and Technology

CY - Gaithersburg, MD

Y2 - 8 June 2006 through 9 June 2006

ER -