research-article

Describing and contextualizing events in TV news show

Authors:

José Luis Redondoio Garcia,

Laurens De Vocht,

Raphael Troncy,

Erik Mannens,

Rik Van de WalleAuthors Info & Claims

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

Pages 759 - 764

https://doi.org/10.1145/2567948.2579326

Published: 07 April 2014 Publication History

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Abstract

Describing multimedia content in general and TV programs in particular is a hard problem. Relying on subtitles to extract named entities that can be used to index fragments of a program is a common method. However, this approach is limited to what is being said in a program and written in a subtitle, therefore lacking a broader context. Furthermore, this type of index is restricted to a flat list of entities. In this paper, we combine the power of non-structured documents with structured data coming from DBpedia to generate a much richer, context aware metadata of a TV program. We demonstrate that we can harvest a rich context by expanding an initial set of named entities detected in a TV fragment. We evaluate our approach on a TV news show.

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Husevåg A(2018)From subtitles to substantial metadata: examining characteristics of named entities and their role in indexingInternational Journal on Digital Libraries10.1007/s00799-018-0252-zOnline publication date: 16-Oct-2018
https://doi.org/10.1007/s00799-018-0252-z
Knittel JDingler TWhitney PMurray JBasapur SAli Hasan NHuber J(2016)Mining Subtitles for Real-Time Content Generation for Second-Screen ApplicationsProceedings of the ACM International Conference on Interactive Experiences for TV and Online Video10.1145/2932206.2932217(93-103)Online publication date: 17-Jun-2016
https://dl.acm.org/doi/10.1145/2932206.2932217
Redondo García JRizzo GTroncy RBarker KGómez-Pérez J(2015)The Concentric Nature of News Semantic SnapshotsProceedings of the 8th International Conference on Knowledge Capture10.1145/2815833.2815836(1-8)Online publication date: 7-Oct-2015
https://dl.acm.org/doi/10.1145/2815833.2815836
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Describing and contextualizing events in TV news show
1. Information systems
  1. Information retrieval
    1. Document representation

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Published In

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

April 2014

1396 pages

ISBN:9781450327459

DOI:10.1145/2567948

General Chair:
Chin-Wan Chung
Korea Advanced Institute of Science and Technology, Korea
,
Program Chairs:
Andrei Broder
Google Inc., USA
,
Kyuseok Shim
Seoul National University, Korea
,
Torsten Suel
New York University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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

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Association for Computing Machinery

New York, NY, United States

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Published: 07 April 2014

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WWW '14

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WWW '14: 23rd International World Wide Web Conference

April 7 - 11, 2014

Seoul, Korea

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Husevåg A(2018)From subtitles to substantial metadata: examining characteristics of named entities and their role in indexingInternational Journal on Digital Libraries10.1007/s00799-018-0252-zOnline publication date: 16-Oct-2018
https://doi.org/10.1007/s00799-018-0252-z
Knittel JDingler TWhitney PMurray JBasapur SAli Hasan NHuber J(2016)Mining Subtitles for Real-Time Content Generation for Second-Screen ApplicationsProceedings of the ACM International Conference on Interactive Experiences for TV and Online Video10.1145/2932206.2932217(93-103)Online publication date: 17-Jun-2016
https://dl.acm.org/doi/10.1145/2932206.2932217
Redondo García JRizzo GTroncy RBarker KGómez-Pérez J(2015)The Concentric Nature of News Semantic SnapshotsProceedings of the 8th International Conference on Knowledge Capture10.1145/2815833.2815836(1-8)Online publication date: 7-Oct-2015
https://dl.acm.org/doi/10.1145/2815833.2815836
Redondo García JRizzo GRomero LHildebrand MTroncy R(2015)Generating Semantic Snapshots of Newscasts Using Entity ExpansionProceedings of the 15th International Conference on Engineering the Web in the Big Data Era - Volume 911410.1007/978-3-319-19890-3_26(410-419)Online publication date: 23-Jun-2015
https://dl.acm.org/doi/10.1007/978-3-319-19890-3_26

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Two-stage approach to named entity recognition using Wikipedia and DBpedia

Automatic gazette creation for named entity recognition and application to resume processing

NCBI disease corpus

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