@inproceedings{feliu-etal-2006-skeleton,
title = "{SKELETON}: Specialised knowledge retrieval on the basis of terms and conceptual relations",
author = "Feliu, Judit and
Vivaldi, Jorge and
Cabr{\'e}, M. Teresa",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/203_pdf.pdf",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T SKELETON: Specialised knowledge retrieval on the basis of terms and conceptual relations
%A Feliu, Judit
%A Vivaldi, Jorge
%A Cabré, M. Teresa
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F feliu-etal-2006-skeleton
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/203_pdf.pdf
Markdown (Informal)
[SKELETON: Specialised knowledge retrieval on the basis of terms and conceptual relations](http://www.lrec-conf.org/proceedings/lrec2006/pdf/203_pdf.pdf) (Feliu et al., LREC 2006)
ACL