License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.LDK.2021.10
URN: urn:nbn:de:0030-drops-145460
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14546/
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Kupść, Anna ; Haas, Pauline ; Marín, Rafael ; Balvet, Antonio

Enriching a Lexical Resource for French Verbs with Aspectual Information

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OASIcs-LDK-2021-10.pdf (0.6 MB)

Abstract

The paper presents a syntactico-semantic lexicon of over a thousand French verbs. It has been created by manually adding lexical aspect features to verb frames from TreeLex [Kupść and Abeillé, 2008]. We present how the original syntactic resource has been adapted to the current project, our aspect assignment procedure and an overview of the resulting lexical resource.

BibTeX - Entry

@InProceedings{kupsc_et_al:OASIcs.LDK.2021.10,
  author =	{Kup\'{s}\'{c}, Anna and Haas, Pauline and Mar{\'\i}n, Rafael and Balvet, Antonio},
  title =	{{Enriching a Lexical Resource for French Verbs with Aspectual Information}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{10:1--10:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14546},
  URN =		{urn:nbn:de:0030-drops-145460},
  doi =		{10.4230/OASIcs.LDK.2021.10},
  annote =	{Keywords: computational semantics, corpora-based methods in language engineering, electronic language resources and tools, formalization of natural languages}
}

Keywords: computational semantics, corpora-based methods in language engineering, electronic language resources and tools, formalization of natural languages
Collection: 3rd Conference on Language, Data and Knowledge (LDK 2021)
Issue Date: 2021
Date of publication: 30.08.2021
Supplementary Material: Dataset: http://redac.univ-tlse2.fr/lexiques/treelexPlusPlus.html

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