Skip to main content
SpringerLink
Log in
Book cover

European Conference on Information Retrieval

ECIR 2021: Advances in Information Retrieval pp 492–497Cite as

Time-Matters: Temporal Unfolding of Texts

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12657))

Abstract

Over the past few years, the amount of information generated, consumed and stored on the Web has grown exponentially, making it impossible for users to keep up to date. Temporal data representation can help in this process by giving documents a sense of organization. Timelines are a natural way to showcase this data, giving users the chance to get familiar with a topic in a shorter amount of time. Despite their importance, little is known about their use in the context of single documents. In this paper, we present Time-Matters, a novel system to automatically explore arbitrary texts through temporal narratives in an interactive fashion that allows users to get insights into the relevant temporal happenings of a story through multiple components, including temporal annotation, storylines or temporal clustering. In contrast to classical timeline multi-document summarization tasks, we focus on performing text summaries of single documents with a temporal lens. This approach may be of interest to a number of providers such as media outlets, for which automatically building a condensed overview of a text is an important issue.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Alonso, O., Shiells, K.: Timelines as summaries of popular scheduled events. In: Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), Rio de Janeiro, Brazil, 13–17 May 2013, pp. 1037–1044 (2013)

    Google Scholar 

  2. Alonso, O., Tremblay, S.-E., Diaz, F.: Automatic generation of event timelines from social data. In: Proceedings of the 2017 ACM on Web Science Conference (WebSci 2017), New York, USA, 25–28 June 2017, pp. 207–211 (2017)

    Google Scholar 

  3. Alonso, O., Kandylas, V., Tremblay, S.-E.: How it happened: discovering and archiving the evolution of a story using social signals. In: Proceedings of the ACM/IESS Joint Conference on Digital Libraries (JCDL 2018), Texas, USA, 3–7 June 2018, pp. 193–202 (2018)

    Google Scholar 

  4. Campos, R., Dias, G., Jorge, A., Jatowt, A.: Survey of temporal information retrieval and related applications. ACM Comput. Surv. 47(2), Article 15 (2014)

    Google Scholar 

  5. Campos, R., Dias, G., Jorge, A.M., Nunes, C.: Identifying top relevant dates for implicit time sensitive queries. Inf. Retrieval J. 20(4), 363–398 (2017). https://doi.org/10.1007/s10791-017-9302-1

    Article  Google Scholar 

  6. Campos, R., Mangaravite, V., Pasquali, A., Jorge, A.M., Nunes, C., Jatowt, A.: A text feature based automatic keyword extraction method for single documents. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 684–691. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76941-7_63

    Chapter  Google Scholar 

  7. Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., Jatowt, A.: YAKE! keyword extraction from single documents using multiple local features. Inf. Sci. J. 509, 257–289 (2020)

    Article  Google Scholar 

  8. Campos, R., Jorge, A., Jatowt, A., Sumit, B.: Third International workshop on narrative extraction from texts (Text2Story’20). In: Jose, J., et al. (eds.) Proceedings of the 42nd European Conference on Information Retrieval (ECIR’20), pp. 648–653. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45442-5_86

  9. Chang, A.X., Manning, C.D.: SUTIME: a library for recognizing and normalizing time expressions. In: Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012), Istambul, Turkey, 23–25 May 2012, pp. 3735–3740 (2012)

    Google Scholar 

  10. Dias, G., Alves, E., Lopes, J.: Topic segmentation algorithms for text summarization and passage retrieval: an exhaustive evaluation. In: Proceedings of the 22nd Conference on Artificial Intelligence (AAAI 2007), Vancouver, Canada, 22–26 July 2007, pp. 1334–1340. AAAI Press (2007)

    Google Scholar 

  11. Gomes, D., Cruz, D., Miranda, J., Costa, M., Fontes, S.: Search the past with the portuguese web archive. In: Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), Rio de Janeiro, Brazil, 13–17 May 2013, pp. 321–324 (2013)

    Google Scholar 

  12. Hausner, P., Aumiller, D., Gertz, M.: Time-centric exploration of court documents. In: Proceedings of the 3rd International Workshop on Narrative Extraction from Texts (Text2Story20@ECIR 2020), Lisbon, Portugal, 14 April 2020, pp. 31–37 (2020)

    Google Scholar 

  13. Hausner, P., Aumiller, D., Gertz, M.: TiCCo: time-centric content exploration. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM 2020), Virtual Event, Ireland, 19–23 October 2020, pp. 3413–3416. ACM Press (2020)

    Google Scholar 

  14. Jatowt, A., Campos, R., Bhowmick, S., Doucet, A.: Document in context of time (DICT): system that provides temporal context for analyzing old documents. In: Proceedings of the 28th ACM International Conference on Knowledge Management (CIKM 2019), Beijing, China, 03–07 November 2019, pp. 2869–2872. ACM Press (2019)

    Google Scholar 

  15. Kanhabua, N., Blanco, R., Nørvåg, K.: Temporal information retrieval. Found. Trends Inf. Retrieval 9(2), 91–208 (2015)

    Article  Google Scholar 

  16. Kanhabua, N., Romano, S., Stewart, A.: Identifying relevant temporal expressions for real-world events. In: Proceedings of the Workshop on Time-aware Information Access (TAIA’12@SIGIR’12), Portland, USA, 12–16 August 2012 (2012)

    Google Scholar 

  17. Martinez-Alvarez, M., et al.: First international workshop on recent trends in news information retrieval (NewsIR’16). In: Ferro, N., et al. (eds.) ECIR 2016. LNCS, vol. 9626, pp. 878–882. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-30671-1_85

    Chapter  Google Scholar 

  18. Pasquali, A., Mangaravite, V., Campos, R., Jorge, A.M., Jatowt, A.: Interactive system for automatically generating temporal narratives. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds.) ECIR 2019. LNCS, vol. 11438, pp. 251–255. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-15719-7_34

    Chapter  Google Scholar 

  19. Strötgen, J., Gertz, M.: Multilingual and cross-domain temporal tagging. Lang. Resour. Eval. 47(2), 269–298 (2013)

    Article  Google Scholar 

  20. Strötgen, J., Alonso, O., Gertz, M.: Identification of top relevant temporal expressions in documents. In: Proceedings of the 2nd Temporal Web Analytics Workshop (TempWeb12@WWW’12), Lyon, France, 17 April 2012, pp. 33–40 (2012)

    Google Scholar 

  21. Tran, G., Alrifai, M., Herder, E.: Timeline summarization from relevant headlines. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds.) ECIR 2015. LNCS, vol. 9022, pp. 245–256. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16354-3_26

    Chapter  Google Scholar 

Download references

Acknowledgements

Ricardo Campos and Alípio Jorge were financed by the ERDF – European Regional Development Fund through the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project PTDC/CCI-COM/31857/2017 (NORTE-01-0145-FEDER-03185). This funding fits under the research line of the Text2Story project. Célia Nunes was financed by the Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through projects UIDB/00212/2020.

Author information

Authors and Affiliations

  1. LIAAD – INESCTEC, Porto, Portugal

    Ricardo Campos & Alípio Jorge

  2. Polytechnic Institute of Tomar, Ci2 - Smart Cities Research Center, Tomar, Portugal

    Ricardo Campos, Jorge Duque, Tiago Cândido & Jorge Mendes

  3. Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, Caen, France

    Gaël Dias

  4. FCUP, University of Porto, Porto, Portugal

    Alípio Jorge

  5. Center of Mathematics and Applications, University of Beira Interior, Covilhã, Portugal

    Célia Nunes

Authors
  1. Ricardo Campos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jorge Duque
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tiago Cândido
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jorge Mendes
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Gaël Dias
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Alípio Jorge
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Célia Nunes
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ricardo Campos .

Editor information

Editors and Affiliations

  1. Radboud University Nijmegen, Nijmegen, The Netherlands

    Djoerd Hiemstra

  2. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Marie-Francine Moens

  3. Toulouse, Toulouse Institute of Computer Science Research, Toulouse, France

    Josiane Mothe

  4. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Raffaele Perego

  5. Leipzig University, Leipzig, Germany

    Martin Potthast

  6. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Fabrizio Sebastiani

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Campos, R. et al. (2021). Time-Matters: Temporal Unfolding of Texts. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-72240-1_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72239-5

  • Online ISBN: 978-3-030-72240-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation