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European Conference on Information Retrieval

ECIR 2019: Advances in Information Retrieval pp 251–255Cite as

Interactive System for Automatically Generating Temporal Narratives

Part of the Lecture Notes in Computer Science book series (LNISA,volume 11438)

Abstract

In this demo, we present a tool that allows to automatically generate temporal summarization of news collections. Conta-me Histórias (Tell me stories) is a friendly user interface that enables users to explore and revisit events in the past. To select relevant stories and temporal periods, we rely on a key-phrase extraction algorithm developed by our research team, and event detection methods made available by the research community. Additionally, we offer the engine as an open source package that can be extended to support different datasets or languages. The work described here stems from our participation at the Arquivo.pt 2018 competition, where we have been awarded the first prize.

Keywords

  • Information retrieval
  • Temporal summarization

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Fig. 1.
Fig. 2.

Notes

  1. 1.

    http://sobre.arquivo.pt/en/arquivo-pt-2018-award-winners/.

  2. 2.

    https://github.com/LIAAD/TemporalSummarizationFramework.

  3. 3.

    https://docs.scipy.org/doc/scipy/reference/signal.html.

  4. 4.

    http://contamehistorias.pt/arquivopt.

  5. 5.

    http://signal.tellmestories.pt.

  6. 6.

    http://labs.tellmestories.pt.

References

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Acknowledgements

This work is partially funded by the ERDF through the COMPETE 2020 Programme within project POCI-01-0145-FEDER-006961, and by National Funds through the FCT as part of project UID/EEA/50014/2013.

Author information

Authors and Affiliations

  1. LIAAD – INESCTEC, Porto, Portugal

    Arian Pasquali, Vítor Mangaravite, Ricardo Campos & Alípio Mário Jorge

  2. FCUP, University of Porto, Porto, Portugal

    Arian Pasquali & Alípio Mário Jorge

  3. Polytechnic Institute of Tomar - Smart Cities Research Center, Tomar, Portugal

    Ricardo Campos

  4. Kyoto University, Kyoto, Japan

    Adam Jatowt

Authors
  1. Arian Pasquali
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  2. Vítor Mangaravite
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  3. Ricardo Campos
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  4. Alípio Mário Jorge
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  5. Adam Jatowt
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Corresponding author

Correspondence to Arian Pasquali .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Leif Azzopardi

  2. Bauhaus Universität Weimar, Weimar, Germany

    Benno Stein

  3. Universität Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  4. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

    Philipp Mayr

  5. Delft University of Technology, Delft, The Netherlands

    Claudia Hauff

  6. University of Twente, Enschede, The Netherlands

    Djoerd Hiemstra

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Pasquali, A., Mangaravite, V., Campos, R., Jorge, A.M., Jatowt, A. (2019). Interactive System for Automatically Generating Temporal Narratives. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11438. Springer, Cham. https://doi.org/10.1007/978-3-030-15719-7_34

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  • DOI: https://doi.org/10.1007/978-3-030-15719-7_34

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