Limits of Lexical Semantic Relatedness with Ontology-based Conceptual Vectors

Lim Lian Tze, Didier Schwab

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 Harvard Style

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 - Volume 1: NLPCS, (ICEIS 2008) ISBN 978-989-8111-45-6, pages 153-158. DOI: 10.5220/0001737301530158


in Bibtex Style

@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 - Volume 1: NLPCS, (ICEIS 2008)},
year={2008},
pages={153-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001737301530158},
isbn={978-989-8111-45-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2008)
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