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.2021.1
URN: urn:nbn:de:0030-drops-145377
URL: https://drops.dagstuhl.de/opus/volltexte/2021/14537/
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Lafourcade, Mathieu

The JeuxDeMots Project (Invited Talk)

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OASIcs-LDK-2021-1.pdf (0.2 MB)


Abstract

The JeuxDeMots project aims at building a very large knowledge base in French, both common sense and specialized, using games, contributory approaches, and inference mechanisms. A dozen games have been designed as part of this project, each one allowing to collect specific information, or to consolidate the information acquired through the other games. With this presentation, the data collected and constructed since the launch of the project in the summer of 2007 will be analyzed both qualitatively and quantitatively. In particular, the following aspects will be detailed: the structure of the lexical and semantic network, some types of relations (semantic, ontological, subjective, semantic roles, associations of ideas), annotation of relations (meta-information), semantic refinements (management of polysemy), the creation of clusters allowing the representation of richer knowledge (n-argument relations) that make an implicit neural network. Finally, I will describe some complementary acquisition methods and applications such as a bot for endogenous contributions, a chatbot making inferences and semantic extraction from texts.

BibTeX - Entry

@InProceedings{lafourcade:OASIcs.LDK.2021.1,
  author =	{Lafourcade, Mathieu},
  title =	{{The JeuxDeMots Project}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{1:1--1:1},
  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/2021/14537},
  URN =		{urn:nbn:de:0030-drops-145377},
  doi =		{10.4230/OASIcs.LDK.2021.1},
  annote =	{Keywords: Lexical Semantic Network, Games with a Purpose, Inferences, Knowledge Representation, Semantic Representation}
}

Keywords: Lexical Semantic Network, Games with a Purpose, Inferences, Knowledge Representation, Semantic Representation
Collection: 3rd Conference on Language, Data and Knowledge (LDK 2021)
Issue Date: 2021
Date of publication: 30.08.2021


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