Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Evaluation of abstractive summarisation models with machine translation in deliberative processes

Tools
- Tools
+ Tools

Arana-Catania, Miguel, Procter, Rob, He, Yulan and Liakata, Maria (2021) Evaluation of abstractive summarisation models with machine translation in deliberative processes. In: Third Workshop on New Frontiers in Summarization, Online and in Dominican Republic, 10 Nov 2021. Published in: Proceedings of the Third Workshop on New Frontiers in Summarization pp. 57-64. doi:10.18653/v1/2021.newsum-1.7

[img]
Preview
PDF
WRAP-Evaluation-abstractive-summarisation-models-machine-22.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (383Kb) | Preview
Official URL: http://dx.doi.org/10.18653/v1/2021.newsum-1.7

Request Changes to record.

Abstract

We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficulties of combining multiple narratives, mostly of poor grammatical quality, in a single text. We report an extensive evaluation of a wide range of abstractive summarisation models in combination with an off-the-shelf machine translation model. Texts are translated into English, summarised, and translated back to the original language. We obtain promising results regarding the fluency, consistency and relevance of the summaries produced. Our approach is easy to implement for many languages for production purposes by simply changing the translation model.

Item Type: Conference Item (Paper)
Subjects: P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Computational linguistics, Machine translating , English language -- Machine translating, Natural language processing (Computer science), Text processing (Computer science)
Journal or Publication Title: Proceedings of the Third Workshop on New Frontiers in Summarization
Publisher: Association for Computational Linguistics
Book Title: Proceedings of the Third Workshop on New Frontiers in Summarization
Official Date: 2021
Dates:
DateEvent
2021UNSPECIFIED
Page Range: pp. 57-64
DOI: 10.18653/v1/2021.newsum-1.7
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Copyright Holders: ©2021 Association for Computational Linguistics
Date of first compliant deposit: 25 October 2022
Date of first compliant Open Access: 25 October 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/V048597/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/N510129/1Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
EP/V020579/1Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
EP/V030302/1Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
Is Part Of: 1
Conference Paper Type: Paper
Title of Event: Third Workshop on New Frontiers in Summarization
Type of Event: Conference
Location of Event: Online and in Dominican Republic
Date(s) of Event: 10 Nov 2021

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us