Relation Inference in Lexical Networks ... with Refinements

Manel Zarrouk, Mathieu Lafourcade

Abstract
Improving lexical network’s quality is an important issue in the creation process of these language resources. This can be done by automatically inferring new relations from already existing ones with the purpose of (1) densifying the relations to cover the eventual lack of information and (2) detecting errors. In this paper, we devise such an approach applied to the JeuxDeMots lexical network, which is a freely available lexical and semantic resource for French. We first present the principles behind the lexical network construction with crowdsourcing and games with a purpose and illustrated them with JeuxDeMots (JDM). Then, we present the outline of an elicitation engine based on an inference engine using schemes like deduction, induction and abduction which will be referenced and briefly presented and we will especially highlight the new scheme (Relation Inference Scheme with Refinements) added to our system. An experiment showing the relevance of this scheme is then presented.
Anthology ID:
L14-1672
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2995–3000
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/867_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Manel Zarrouk and Mathieu Lafourcade. 2014. Relation Inference in Lexical Networks ... with Refinements. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2995–3000, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Relation Inference in Lexical Networks … with Refinements (Zarrouk & Lafourcade, LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/867_Paper.pdf
PDF Search