SKELETON: Specialised knowledge retrieval on the basis of terms and conceptual relations

Judit Feliu, Jorge Vivaldi, M. Teresa Cabré


Abstract
The main goal of this paper is to present a first approach to an automatic detection of conceptual relations between two terms in specialised written text. Previous experiments on the basis of the manual analysis lead the authors to implement an automatic query strategy combining the term candidates proposed by an extractor together with a list of verbal syntactic patterns used for the relations refinement. Next step on the research will be the integration of the results into the term extractor in order to attain more restrictive pieces of information directly reused for the ontology building task.
Anthology ID:
L06-1112
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Editors:
Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/203_pdf.pdf
DOI:
Bibkey:
Cite (ACL):
Judit Feliu, Jorge Vivaldi, and M. Teresa Cabré. 2006. SKELETON: Specialised knowledge retrieval on the basis of terms and conceptual relations. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
SKELETON: Specialised knowledge retrieval on the basis of terms and conceptual relations (Feliu et al., LREC 2006)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/203_pdf.pdf