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

Kyle Richardson; Niket Tandon; Peter Clark; Sumithra Bhakthavatsalam

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arxiv 2006.07510 v1 pith:6CBGFAGL submitted 2020-06-12 cs.CL cs.AI

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

Sumithra Bhakthavatsalam , Kyle Richardson , Niket Tandon , Peter Clark This is my paper

classification cs.CL cs.AI

keywords haspartavailablebaseknowledgerelationshipswordnetaccurateaddition

verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

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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

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

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