@inproceedings{attardi-etal-2010-resource,
    title = "A Resource and Tool for Super-sense Tagging of {I}talian Texts",
    author = "Attardi, Giuseppe  and
      Rossi, Stefano Dei  and
      Di Pietro, Giulia  and
      Lenci, Alessandro  and
      Montemagni, Simonetta  and
      Simi, Maria",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Odijk, Jan  and
      Piperidis, Stelios  and
      Rosner, Mike  and
      Tapias, Daniel",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L10-1148/",
    abstract = "A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The developed tagger, based on a statistical model (Maximum Entropy), required the creation of an Italian annotated corpus, to be used as a training set, and the improvement of various existing tools. The obtained results significantly improved the current state-of-the art for this particular task."
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        <title>A Resource and Tool for Super-sense Tagging of Italian Texts</title>
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        <namePart type="given">Giuseppe</namePart>
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        <namePart type="family">Rossi</namePart>
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        <namePart type="given">Simonetta</namePart>
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    </name>
    <name type="personal">
        <namePart type="given">Maria</namePart>
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    <abstract>A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The developed tagger, based on a statistical model (Maximum Entropy), required the creation of an Italian annotated corpus, to be used as a training set, and the improvement of various existing tools. The obtained results significantly improved the current state-of-the art for this particular task.</abstract>
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        <url>https://aclanthology.org/L10-1148/</url>
    </location>
    <part>
        <date>2010-05</date>
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%0 Conference Proceedings
%T A Resource and Tool for Super-sense Tagging of Italian Texts
%A Attardi, Giuseppe
%A Rossi, Stefano Dei
%A Di Pietro, Giulia
%A Lenci, Alessandro
%A Montemagni, Simonetta
%A Simi, Maria
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F attardi-etal-2010-resource
%X A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The developed tagger, based on a statistical model (Maximum Entropy), required the creation of an Italian annotated corpus, to be used as a training set, and the improvement of various existing tools. The obtained results significantly improved the current state-of-the art for this particular task.
%U https://aclanthology.org/L10-1148/
Markdown (Informal)
[A Resource and Tool for Super-sense Tagging of Italian Texts](https://aclanthology.org/L10-1148/) (Attardi et al., LREC 2010)
ACL
- Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pietro, Alessandro Lenci, Simonetta Montemagni, and Maria Simi. 2010. A Resource and Tool for Super-sense Tagging of Italian Texts. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).