Semantic relation classification: task formalisation and refinement
Silva, Vivian S. Hürliman, Manuela Davis, Brian Handschuh, Siegfried Freitas, André
Silva, Vivian S.
Hürliman, Manuela
Davis, Brian
Handschuh, Siegfried
Freitas, André
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2016-12-12
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Workshop paper
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Vivian S Silva, Manuela Hürliman, Brian Davis, Siegfried Handschuh, André Freitas (2016) Semantic relation classification: task formalisation and refinement. Paper presented at the Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V), Osaka, Japan, 12 Dec 2016.
Abstract
The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, semantic relation classification concentrates on relations which are evaluated over open-domain data. This work provides a critique on the set of abstract relations used for semantic relation classification with regard to their ability to express relationships between terms which are found in a domain-specific corpora. Based on this analysis, this work proposes an alternative semantic relation model based on reusing and extending the set of abstract relations present in the DOLCE ontology. The resulting set of relations is well grounded, allows to capture a wide range of relations and could thus be used as a foundation for automatic classification of semantic relations.
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Association for Computational Linguistics
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Attribution-NonCommercial-NoDerivs 3.0 Ireland