Corpora and Linguistic Linked Open Data: Motivations, Applications, Limitations

Christian Chiarcos


Abstract
Linguistic Linked Open Data (LLOD) is a technology and a movement in several disciplines working with language resources, including Natural Language Processing, general linguistics, computational lexicography and the localization industry. This talk describes basic principles of Linguistic Linked Open Data and their application to linguistically annotated corpora, it summarizes the current status of the Linguistic Linked Open Data cloud and gives an overview over selected LLOD vocabularies and their uses.
Anthology ID:
2016.jeptalnrecital-invite.1
Volume:
Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 4 : Conférences invitées
Month:
7
Year:
2016
Address:
Paris, France
Editors:
Laurence Danlos, Thierry Hamon
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
AFCP - ATALA
Note:
Pages:
1–2
Language:
URL:
https://aclanthology.org/2016.jeptalnrecital-invite.1
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Cite (ACL):
Christian Chiarcos. 2016. Corpora and Linguistic Linked Open Data: Motivations, Applications, Limitations. In Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 4 : Conférences invitées, pages 1–2, Paris, France. AFCP - ATALA.
Cite (Informal):
Corpora and Linguistic Linked Open Data: Motivations, Applications, Limitations (Chiarcos, JEP/TALN/RECITAL 2016)
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PDF:
https://aclanthology.org/2016.jeptalnrecital-invite.1.pdf