Content summarisation of conversation in the context of virtual meetings: An enhanced TextRank approach

Antonios Nanos; Anne James; Rahat Iqbal; Yih-Ling Hedley

doi:10.1109/CSCWD.2017.8066672

Content summarisation of conversation in the context of virtual meetings: An enhanced TextRank approach

Antonios Nanos, Anne James, Rahat Iqbal, Yih-Ling Hedley

Faculty of Engineering, Environment & Computing (EEC)

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

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Abstract

Organisations now frequently rely on virtual collaboration through the use of computer technology. After a sequence of meetings, participants may only need to refer to the most important points rather than the whole meeting proceedings. This paper addresses the need for automated meeting summarisation in virtual meeting systems. An extraction approach to summarisation is adopted and a new algorithm is proposed by extending the TextRank algorithm to include constructs representing the structure of the meeting. This helps extract the most relevant sentences from the meeting transcript. The proposed method was evaluated in the context of student-tutor meetings. Results show that harnessing and utilising the structure of a virtual meeting can lead to more relevant automated summaries.

Original language	English
Title of host publication	2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5090-6199-0, 978-1-5090-6198-3
ISBN (Print)	978-1-5090-6200-3
DOIs	https://doi.org/10.1109/CSCWD.2017.8066672
Publication status	Published - 1 Apr 2017
Event	IEEE 21st International Conference on Computer Supported Cooperative Work in Design - University of Victoria, Wellington, New Zealand Duration: 26 Apr 2017 → 28 Apr 2017 http://cscwd17.sim.vuw.ac.nz/

Conference

Conference	IEEE 21st International Conference on Computer Supported Cooperative Work in Design
Abbreviated title	CSCWD2017
Country/Territory	New Zealand
City	Wellington
Period	26/04/17 → 28/04/17
Internet address	http://cscwd17.sim.vuw.ac.nz/

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

Collaboration
Brain modeling
Schedules
Tools
Protocols
Business
virtual meeting summarisation
cscw
structured meeting
Textrank

Access to Document

10.1109/CSCWD.2017.8066672

Post-PrintAccepted author manuscript, 288 KB

Cite this

Nanos, A, James, A, Iqbal, R & Hedley, Y-L 2017, Content summarisation of conversation in the context of virtual meetings: An enhanced TextRank approach. in 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, IEEE 21st International Conference on Computer Supported Cooperative Work in Design, Wellington, New Zealand, 26/04/17. https://doi.org/10.1109/CSCWD.2017.8066672

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abstract = "Organisations now frequently rely on virtual collaboration through the use of computer technology. After a sequence of meetings, participants may only need to refer to the most important points rather than the whole meeting proceedings. This paper addresses the need for automated meeting summarisation in virtual meeting systems. An extraction approach to summarisation is adopted and a new algorithm is proposed by extending the TextRank algorithm to include constructs representing the structure of the meeting. This helps extract the most relevant sentences from the meeting transcript. The proposed method was evaluated in the context of student-tutor meetings. Results show that harnessing and utilising the structure of a virtual meeting can lead to more relevant automated summaries.",

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AB - Organisations now frequently rely on virtual collaboration through the use of computer technology. After a sequence of meetings, participants may only need to refer to the most important points rather than the whole meeting proceedings. This paper addresses the need for automated meeting summarisation in virtual meeting systems. An extraction approach to summarisation is adopted and a new algorithm is proposed by extending the TextRank algorithm to include constructs representing the structure of the meeting. This helps extract the most relevant sentences from the meeting transcript. The proposed method was evaluated in the context of student-tutor meetings. Results show that harnessing and utilising the structure of a virtual meeting can lead to more relevant automated summaries.

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KW - Schedules

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KW - Protocols

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ER -

Content summarisation of conversation in the context of virtual meetings: An enhanced TextRank approach

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this