# Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations

arXiv: https://arxiv.org/abs/2006.07510 · HTML: https://mlsanity.com/paper/2006.07510/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jun 2020.

## Built on by (most cited first, 10 of 10)

- [Multi-Modal Knowledge Graph Construction and Application: A Survey](https://mlsanity.com/paper/2202.05786/) (2022)
- [Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey](https://mlsanity.com/paper/2402.05391/) (2024)
- [Dimensions of Commonsense Knowledge](https://mlsanity.com/paper/2101.04640/) (2021)
- [Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering](https://mlsanity.com/paper/2109.08029/) (2021)
- [Refined Commonsense Knowledge from Large-Scale Web Contents](https://mlsanity.com/paper/2112.04596/) (2021)
- [LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection](https://mlsanity.com/paper/2207.12888/) (2022)
- [A survey on knowledge-enhanced multimodal learning](https://mlsanity.com/paper/2211.12328/) (2022)
- [A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task](https://mlsanity.com/paper/2504.17547/) (2025)
- [Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base](https://mlsanity.com/paper/2207.13242/) (2022)
- [The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges](https://mlsanity.com/paper/2303.02411/) (2023)

## Abstract (arXiv)

We present a new knowledge-base of hasPart relationships, extracted from a large corpus of generic statements. Complementary to other resources available, it is the first which is all three of: accurate (90% precision), salient (covers relationships a person may mention), and has high coverage of common terms (approximated as within a 10 year old's vocabulary), as well as having several times more hasPart entries than in the popular ontologies ConceptNet and WordNet. In addition, it contains information about quantifiers, argument modifiers, and links the entities to appropriate concepts in Wikipedia and WordNet. The knowledge base is available at https://allenai.org/data/haspartkb