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Authors: Lim Lian Tze 1 and Didier Schwab 2

Affiliations: 1 Computer-aided Translation Unit, School of Computer Sciences Universiti Sains Malaysia, Malaysia ; 2 GETALP-LIG Groupe d’Étude en Traduction/Traitement des Langues et de la Parole, Laboratoire d’Informatique de Grenoble, Université Pierre Mendès, France

Abstract: Conceptual vectors can be used to represent thematic aspects of text segments, which allow for the computation of semantic relatedness. We study the behavior of conceptual vectors based on an ontology by comparing the results to the Miller-Charles benchmark. We discuss the limits to such an approach due to explicit mapping, as well as the viability of the Miller-Charles dataset as a benchmark for assessing lexical semantic relatedness.

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Paper citation in several formats:
Lian Tze, L. and Schwab, D. (2008). Limits of Lexical Semantic Relatedness with Ontology-based Conceptual Vectors. In Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS; ISBN 978-989-8111-45-6, SciTePress, pages 153-158. DOI: 10.5220/0001737301530158

@conference{nlpcs08,
author={Lim {Lian Tze}. and Didier Schwab.},
title={Limits of Lexical Semantic Relatedness with Ontology-based Conceptual Vectors},
booktitle={Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS},
year={2008},
pages={153-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001737301530158},
isbn={978-989-8111-45-6},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS
TI - Limits of Lexical Semantic Relatedness with Ontology-based Conceptual Vectors
SN - 978-989-8111-45-6
AU - Lian Tze, L.
AU - Schwab, D.
PY - 2008
SP - 153
EP - 158
DO - 10.5220/0001737301530158
PB - SciTePress