research-article

The Computable News project: Research in the Newsroom

Authors:

James R. Curran,

Matthew Honnibal,

Candice LoxleyAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 903 - 908

https://doi.org/10.1145/2740908.2742009

Published: 18 May 2015 Publication History

Abstract

We report on a four year academic research project to build a natural language processing platform in support of a large media company. The Computable News platform processes news stories, producing a layer of structured data that can be used to build rich applications. We describe the underlying platform and the research tasks that we explored building it. The platform supports a wide range of prototype applications designed to support different newsroom functions. We hope that this qualitative review provides some insight into the challenges involved in this type of project.

References

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Digital Library

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J. Nothman, M. Honnibal, B. Hachey, and J. R. Curran. Event linking: grounding event reference in a news archive. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 228--232, Jeju, Korea, July 2012.

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W. Radford. Linking Named Entities to Wikipedia. PhD thesis, School of Information Technologies, University of Sydney, Sydney, Australia, 2015.

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W. Radford, W. Cannings, A. Naoum, J. Nothman, G. Pink, D. Tse, and J. R. Curran. (Almost) Total Recall -- SYDNEY-CMCRC at TAC 2012. In Proceedings of the Text Analysis Conference, Gaithersburg, MD USA, November 2012. National Institute of Standards and Technology.

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W. Radford and J. R. Curran. Joint apposition extraction with syntactic and semantic constraints. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 671--677, Sofia, Bulgaria, August 2013. Association for Computational Linguistics.

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W. Radford, B. Hachey, M. Honnibal, J. Nothman, and J. R. Curran. Naive but effective NIL clustering baselines -- CMCRC at TAC 2011. In Proceedings of the Text Analysis Conference, Gaithersburg, MD USA, November 2011. National Institute of Standards and Technology.

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W. Radford, B. Hachey, J. Nothman, M. Honnibal, and J. R. Curran. Document-level entity linking: CMCRC at TAC 2010. In Proceedings of the Text Analysis Conference, Gaithersburg, MD USA, November 2010. National Institute of Standards and Technology.

Cited By

Purnomo W.P. YKumar YZulkarnain NRaza B(2024)Extraction and attribution of public figures statements for journalism in Indonesia using deep learningKnowledge-Based Systems10.1016/j.knosys.2024.111558289:COnline publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.111558
Purnomo W.P. YKumar YZulkarnain N(2022)PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributionsGlobal Knowledge, Memory and Communication10.1108/GKMC-04-2022-009173:6/7(853-870)Online publication date: 8-Nov-2022
https://doi.org/10.1108/GKMC-04-2022-0091
Purnomo W.P. YKumar YZulkarnain N(2020)Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in IndonesiaGlobal Knowledge, Memory and Communication10.1108/GKMC-07-2020-0098ahead-of-print:ahead-of-printOnline publication date: 2-Dec-2020
https://doi.org/10.1108/GKMC-07-2020-0098
Show More Cited By

Index Terms

The Computable News project: Research in the Newsroom
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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Information

Published In

cover image ACM Other conferences

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Sponsors

IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Australian Research Council Discovery
Capital Markets Cooperative Research Centre

Conference

WWW '15

Sponsor:

IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Purnomo W.P. YKumar YZulkarnain NRaza B(2024)Extraction and attribution of public figures statements for journalism in Indonesia using deep learningKnowledge-Based Systems10.1016/j.knosys.2024.111558289:COnline publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.111558
Purnomo W.P. YKumar YZulkarnain N(2022)PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributionsGlobal Knowledge, Memory and Communication10.1108/GKMC-04-2022-009173:6/7(853-870)Online publication date: 8-Nov-2022
https://doi.org/10.1108/GKMC-04-2022-0091
Purnomo W.P. YKumar YZulkarnain N(2020)Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in IndonesiaGlobal Knowledge, Memory and Communication10.1108/GKMC-07-2020-0098ahead-of-print:ahead-of-printOnline publication date: 2-Dec-2020
https://doi.org/10.1108/GKMC-07-2020-0098
Wright JMurray GHachey B(2016)An Interface for Assisted Curation of Knowledge Bases from Unstructured TextProceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS)10.1109/HICSS.2016.545(4386-4393)Online publication date: 5-Jan-2016
https://dl.acm.org/doi/10.1109/HICSS.2016.545

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