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The Lemmatisation Task at the EVALITA 2011 Evaluation Campaign

  • Conference paper
Evaluation of Natural Language and Speech Tools for Italian (EVALITA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7689))

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Abstract

This paper reports on the EVALITA 2011 Lemmatisation task, an initiative for the evaluation of automatic lemmatisation tools specifically developed for the Italian language. Despite lemmatisation is often considered a subproduct of a PoS-tagging procedure that does not cause any particular problem, there are a lot of specific cases, certainly in Italian and in some other highly inflected languages, in which, given the same lexical class, we face a lemma ambiguity. A relevant number of scholars and teams participated experimenting their systems on the data provided by the task organisers. The results are very interesting and the overall performances of the participating systems were very high, exceeding, on interesting cases, 99% of lemmatisation accuracy.

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Author information

Authors and Affiliations

  1. Dept. of Linguistics and Oriental Studies, University of Bologna, Italy

    Fabio Tamburini

Authors
  1. Fabio Tamburini
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Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler, Via Sommarive 18, 38123, Povo, TN, Italy

    Bernardo Magnini

  2. University of Naples, Via Cinthia, 80126, Napoli, NA, Italy

    Francesco Cutugno

  3. Fondazione Ugo Bordoni, Viale del Policlinico, 161, Roma, Italy

    Mauro Falcone

  4. CELCT, Via alla Cascata, 38123, Povo, TN, Italy

    Emanuele Pianta

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Tamburini, F. (2013). The Lemmatisation Task at the EVALITA 2011 Evaluation Campaign. In: Magnini, B., Cutugno, F., Falcone, M., Pianta, E. (eds) Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012. Lecture Notes in Computer Science(), vol 7689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35828-9_25

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  • DOI: https://doi.org/10.1007/978-3-642-35828-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35827-2

  • Online ISBN: 978-3-642-35828-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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