skip to main content
10.1145/2740908.2742841acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
research-article

Time-travel Translator: Automatically Contextualizing News Articles

Published: 18 May 2015 Publication History

Abstract

Fully understanding an older news article requires context knowledge from the time of article creation. Finding information about such context is a tedious and time-consuming task, which distracts the reader. Simple contextualization via Wikification is not sufficient here. The retrieved context information has to be time-aware, concise (not full Wikipages) and focused on the coherence of the article topic. In this paper, we present Contextualizer, a web-based system that acquires additional information for supporting interpretations of a news article of interest that requires a mapping, in this case, a kind of time-travel translation between present context knowledge and context knowledge at time of text creation. For a given article, the system provides a GUI that allows users to highlight their interested keywords which are then used to construct appropriate queries for retrieving contextualization candidates. Contextualizer exploits different kinds of information such as temporal similarity and textual complementarity to re-rank the candidates and presents to users in a friendly and interactive web-based interface.

References

[1]
D. Ceccarelli, C. Lucchese, S. Orlando, R. Perego, and S. Trani. Dexter: An open source framework for entity linking. In ESAIR '13, 2013.
[2]
P. Ferragina and U. Scaiella. Tagme: On-the-fly annotation of short text fragments (by wikipedia entities). In CIKM '10, 2010.
[3]
A. Fuxman, P. Pantel, Y. Lv, A. Chandra, P. Chilakamarri, M. Gamon, D. Hamilton, B. Kohlmeier, D. Narayanan, E. Papalexakis, and B. Zhao. Contextual insights. In WWW '14, 2014.
[4]
N. Kanhabua, R. Blanco, and M. Matthews. Ranking related news predictions. In SIGIR '11, 2011.
[5]
D. Milne and I. H. Witten. Learning to link with wikipedia. In CIKM '08, 2008.
[6]
J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In SIGIR '98, 1998.
[7]
N. K. Tran, A. Ceroni, N. Kanhabua, and C. Niederée. Back to the past: Supporting interpretations of forgotten stories by time-aware re-contextualization. In WSDM '15, 2015.
[8]
M. Tsagkias, M. de Rijke, and W. Weerkamp. Linking online news and social media. In WSDM '11, 2011.
[9]
T.vStajner, B. Thomee, A.-M. Popescu, M. Pennacchiotti, and A. Jaimes. Automatic selection of social media responses to news. In KDD '13, 2013.

Cited By

View all
  • (2023)Is this news article still relevant? Ranking by contemporary relevance in archival searchInternational Journal on Digital Libraries10.1007/s00799-023-00377-y25:2(197-216)Online publication date: 28-Jul-2023
  • (2022)Considering temporal aspects in recommender systems: a surveyUser Modeling and User-Adapted Interaction10.1007/s11257-022-09335-w33:1(81-119)Online publication date: 4-Jul-2022
  • (2021)Estimating Contemporary Relevance of Past News2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)10.1109/JCDL52503.2021.00019(70-79)Online publication date: Sep-2021
  • Show More Cited By

Index Terms

  1. Time-travel Translator: Automatically Contextualizing News Articles

    Recommendations

    Comments

    Information & Contributors

    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

    Sponsors

    • IW3C2: International World Wide Web Conference Committee

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 May 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. complementarity
    2. temporal context
    3. time-aware contextualization

    Qualifiers

    • Research-article

    Funding Sources

    • German Federal Ministry of Education and Research (BMBF) for the project Gute Arbeit
    • European Commission for the FP7 project ForgetIT

    Conference

    WWW '15
    Sponsor:
    • IW3C2

    Acceptance Rates

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

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 05 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Is this news article still relevant? Ranking by contemporary relevance in archival searchInternational Journal on Digital Libraries10.1007/s00799-023-00377-y25:2(197-216)Online publication date: 28-Jul-2023
    • (2022)Considering temporal aspects in recommender systems: a surveyUser Modeling and User-Adapted Interaction10.1007/s11257-022-09335-w33:1(81-119)Online publication date: 4-Jul-2022
    • (2021)Estimating Contemporary Relevance of Past News2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)10.1109/JCDL52503.2021.00019(70-79)Online publication date: Sep-2021
    • (2020)NLPHub: An e‐Infrastructure‐based text mining hubConcurrency and Computation: Practice and Experience10.1002/cpe.598633:5Online publication date: 9-Sep-2020
    • (2019)Document in Context of its Time (DICT)Proceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357844(2869-2872)Online publication date: 3-Nov-2019
    • (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

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media