Does Wikidata Support Analogical Reasoning?
On the map: LLM reasoning → Reasoning benchmarks and evaluation
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 10 of its 30 references that are in the map. First posted on arXiv 2 Oct 2022.
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- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
- 2020UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answeringcited by 61
- 2021BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?cited by 56
- 2021A Study of the Quality of Wikidatacited by 35
- 2017Accelerating Innovation Through Analogy Miningcited by 32
- 2022Knowledge Base Question Answering by Case-based Reasoning over Subgraphscited by 31
- 2020Commonsense Knowledge in Wikidatacited by 7
- 2021Survey on English Entity Linking on Wikidatacited by 6
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- 2025The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models
- 2022Scientific and Creative Analogies in Pretrained Language Models
- 2023Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
- 2024LLMs as Models for Analogical Reasoning
- 2023Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction