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Supervised Machine Learning Techniques to Detect TimeML Events in French and English

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Natural Language Processing and Information Systems (NLDB 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9103))

Abstract

Identifying events from texts is an information extraction task necessary for many NLP applications. Through the TimeML specifications and TempEval challenges, it has received some attention in recent years. However, no reference result is available for French. In this paper, we try to fill this gap by proposing several event extraction systems, combining for instance Conditional Random Fields, language modeling and k-nearest-neighbors. These systems are evaluated on French corpora and compared with state-of-the-art methods on English. The very good results obtained on both languages validate our approach.

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Notes

  1. 1.

    http://www.timeml.org/tempeval2/.

  2. 2.

    For details and examples, see [23].

  3. 3.

    http://www.TimeBank-1.2/data/timeml/ABC19980108.1830.0711.html.

  4. 4.

    http://semeval2.fbk.eu/semeval2.php.

  5. 5.

    http://www.timeml.org/tempeval/.

  6. 6.

    http://semeval2.fbk.eu/semeval2.php?location=tasks#T5.

  7. 7.

    http://www.cs.york.ac.uk/semeval-2013/task1/.

  8. 8.

    http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger.

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Authors and Affiliations

  1. Inria - Rennes-Bretagne Atlantique, Rennes, France

    BĂ©atrice Arnulphy

  2. IRISA-CNRS, Rennes, France

    Vincent Claveau

  3. LIMSI-CNRS, University of Paris Sud, Orsay, France

    Xavier Tannier & Anne Vilnat

Authors
  1. BĂ©atrice Arnulphy
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  2. Vincent Claveau
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  3. Xavier Tannier
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  4. Anne Vilnat
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Corresponding author

Correspondence to Vincent Claveau .

Editor information

Editors and Affiliations

  1. Technische Universität Darmstadt, Darmstadt, Germany

    Chris Biemann

  2. Universität Passau, Passau, Germany

    Siegfried Handschuh

  3. Universität Passau, Passau, Germany

    André Freitas

  4. University of Salford, Salford, United Kingdom

    Farid Meziane

  5. Conservatoire National des Arts et MĂ©tiers, Paris, France

    Elisabeth MĂ©tais

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Arnulphy, B., Claveau, V., Tannier, X., Vilnat, A. (2015). Supervised Machine Learning Techniques to Detect TimeML Events in French and English. In: Biemann, C., Handschuh, S., Freitas, A., Meziane, F., MĂ©tais, E. (eds) Natural Language Processing and Information Systems. NLDB 2015. Lecture Notes in Computer Science(), vol 9103. Springer, Cham. https://doi.org/10.1007/978-3-319-19581-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-19581-0_2

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