Article published in:Pattern-based Approaches to Semantic Relation Extraction
Edited by Alain Auger and Caroline Barrière
[Terminology 14:1] 2008
► pp. 45–73
Designing and evaluating patterns for relation acquisition from texts with Caméléon
Pattern-based approaches for knowledge identification in texts assume that linguistic regularities always characterise the same kind of knowledge, such as semantic relations. In this paper, we report the experimental evaluation of a large set of patterns using an ontology enrichment tool: Caméléon. Results emphasize the strong influence of the corpus on pattern efficiency and on their meaning. This influence confirms two of the hypotheses that motivated to define Caméléon as a support used in a human-driven process: (1) patterns and relations must be adapted to each project; (2) human interpretation is required to decide how to report the pieces of knowledge identified with patterns in the ontology.
Keywords: knowledge patterns for French, ontology engineering from text, knowledge engineering, conceptual relation, semi-automatic information extraction, terminology structuring, tool evaluation, dependence on textual genre and domain
Published online: 04 August 2008
Cited by 4 other publications
Aussenac-Gilles, Nathalie, Jean Charlet & Chantal Reynaud
Mela, Augusta, Mathieu Roche & Mohamed El Amine Bekhtaoui
Quesada-Martínez, Manuel, Jesualdo Tomás Fernández-Breis, Robert Stevens & Nathalie Aussenac-Gilles
Sambre, Paul & Cornelia Wermuth
This list is based on CrossRef data as of 24 april 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.