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Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR

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Computational Linguistics and Intelligent Text Processing (CICLing 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9623))

Abstract

We present CROC (Coreference Resolution for Oral Corpus), the first machine learning system for coreference resolution in French. One specific aspect of the system is that it has been trained on data that come exclusively from transcribed speech, namely ANCOR (ANaphora and Coreference in ORal corpus), the first large-scale French corpus with anaphorical relation annotations. In its current state, the CROC system requires pre-annotated mentions. We detail the features used for the learning algorithms, and we present a set of experiments with these features. The scores we obtain are close to those of state-of-the-art systems for written English.

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Acknowledgments

This work was supported by grant ANR-15-CE38-0008 (“DEMOCRAT” project) from the French National Research Agency (ANR), and by APR Centre-Val-de-Loire region (“ANCOR” project).

Author information

Authors and Affiliations

  1. Lattice, CNRS, ENS, Paris, Orléans, France

    Adèle Désoyer, Frédéric Landragin, Isabelle Tellier & Marco Dinarelli

  2. Université de Paris 3, Paris, Orléans, France

    Adèle Désoyer, Frédéric Landragin, Isabelle Tellier & Marco Dinarelli

  3. Université Sorbonne Paris Cité, Paris, Orléans, France

    Adèle Désoyer, Frédéric Landragin, Isabelle Tellier & Marco Dinarelli

  4. PSL Research University, Paris, Orléans, France

    Adèle Désoyer, Frédéric Landragin, Isabelle Tellier & Marco Dinarelli

  5. Modyco, CNRS, Université Paris Ouest – Nanterre La Défense, Nanterre, Orléans, France

    Adèle Désoyer

  6. LIFAT, CNRS, Université François Rabelais de Tours, Tours, Orléans, France

    Anaïs Lefeuvre & Jean-Yves Antoine

  7. LIFO, Université d’Orléans, Orléans, France

    Anaïs Lefeuvre

Authors
  1. Adèle Désoyer
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  2. Frédéric Landragin
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  3. Isabelle Tellier
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  4. Anaïs Lefeuvre
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  5. Jean-Yves Antoine
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  6. Marco Dinarelli
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Corresponding author

Correspondence to Frédéric Landragin .

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Editors and Affiliations

  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Désoyer, A., Landragin, F., Tellier, I., Lefeuvre, A., Antoine, JY., Dinarelli, M. (2018). Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9623. Springer, Cham. https://doi.org/10.1007/978-3-319-75477-2_36

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  • DOI: https://doi.org/10.1007/978-3-319-75477-2_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75476-5

  • Online ISBN: 978-3-319-75477-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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