论文标题
Wikidata是否支持类比推理？
Does Wikidata Support Analogical Reasoning?
论文作者
论文摘要
类比推理方法已经建立在各种资源上，包括常识性知识库，词汇资源，语言模型或它们的组合。尽管对实体和事件的知识的广泛报道使Wikidata成为跨境和领域的类比推理的有希望的资源，但尚未使用Wikidata来完成此任务。在本文中，我们研究了Wikidata中的知识是否支持类比推理。具体而言，我们研究了关系知识是在Wikidata中始终如一地建模的，观察到相关的关系信息通常以不一致的方式缺失或建模。我们的进一步实验表明，Wikidata可用于创建用于类比分类的数据，但这需要大量的手动努力。为了促进未来可以支持类比的工作，我们讨论了关键的Desiderata，并设计了一组指标，以指导从Wikidata提取类比的自动方法。
Analogical reasoning methods have been built over various resources, including commonsense knowledge bases, lexical resources, language models, or their combination. While the wide coverage of knowledge about entities and events make Wikidata a promising resource for analogical reasoning across situations and domains, Wikidata has not been employed for this task yet. In this paper, we investigate whether the knowledge in Wikidata supports analogical reasoning. Specifically, we study whether relational knowledge is modeled consistently in Wikidata, observing that relevant relational information is typically missing or modeled in an inconsistent way. Our further experiments show that Wikidata can be used to create data for analogy classification, but this requires much manual effort. To facilitate future work that can support analogies, we discuss key desiderata, and devise a set of metrics to guide an automatic method for extracting analogies from Wikidata.
