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Authors: Ahmad Issa Alaa Aldine 1 ; Mounira Harzallah 2 ; Berio Giuseppe 3 ; Nicolas Béchet 3 and Ahmad Faour 4

Affiliations: 1 IRISA, University Bretagne Sud, France, Lebanese University and Lebanon ; 2 LINA, University of Nantes and France ; 3 IRISA, University Bretagne Sud and France ; 4 Lebanese University and Lebanon

ISBN: 978-989-758-330-8

Keyword(s): Ontology Learning, Hypernym Extraction, Dependency Parser, Hearst Patterns.

Abstract: Hypernym relation extraction is considered the backbone of building ontologies. Hearst patterns are the most popular patterns used to extract hypernym relation. They include POS tags and lexical information, and they are applied on a shallow parsed corpora. In this paper, we propose a new formalization of Hearst patterns using dependency parser, called Dependency Hearst patterns. This formalization allows them to match better complex or ambiguous sentences. To evaluate our proposal, we have compared the performance of Dependency Hearst patterns to that of the lexico-syntactic Hearst patterns, applied on a music corpus. Dependency Hearst patterns yield a better result than lexico-syntactic patterns for extracting hypernym relations from the corpus.

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Paper citation in several formats:
Aldine A., Harzallah M., Giuseppe B., Béchet N. and Faour A. (2018). Redefining Hearst Patterns by using Dependency Relations.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 148-155. DOI: 10.5220/0006962201480155

@conference{keod18,
author={Ahmad Issa Alaa Aldine and Mounira Harzallah and Berio Giuseppe and Nicolas Béchet and Ahmad Faour},
title={Redefining Hearst Patterns by using Dependency Relations},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={148-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006962201480155},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Redefining Hearst Patterns by using Dependency Relations
SN - 978-989-758-330-8
AU - Aldine A.
AU - Harzallah M.
AU - Giuseppe B.
AU - Béchet N.
AU - Faour A.
PY - 2018
SP - 148
EP - 155
DO - 10.5220/0006962201480155

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