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.
Abstract (translated)
在文本中识别术语之间的语义关系是自然语言处理中的基本任务，其可以支持需要轻量级语义解释模型的应用。目前，语义关系分类集中在通过开放域数据评估的关系上。这项工作对用于语义关系分类的一组抽象关系提供了批判，关于它们表达特定领域语料库中的术语之间关系的能力。基于这种分析，本文基于对DOLCE本体中存在的一组抽象关系的重用和扩展，提出了一种替代语义关系模型。由此产生的一组关系是有充分基础的，可以捕获广泛的关系，因此可以用作自动分类语义关系的基础。
URL
https://arxiv.org/abs/1806.07721
