Semantic Relation Classification: Task Formalisation and Refinement

TL;DR

This paper critiques existing semantic relation sets for domain-specific texts, proposing an extended, ontology-based model grounded in DOLCE to improve semantic relation classification.

Contribution

It introduces a refined semantic relation model based on DOLCE, enhancing expressiveness and applicability for domain-specific semantic relation classification.

Findings

Proposes an ontology-based set of semantic relations

Enhances the expressiveness of semantic relation classification

Provides a foundation for automatic semantic relation classification

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.