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Refined Commonsense Knowledge from Large-Scale Web Contents. (arXiv:2112.04596v2 [cs.CL] UPDATED)
June 24, 2022, 1:12 a.m. | Tuan-Phong Nguyen, Simon Razniewski, Julien Romero, Gerhard Weikum
cs.CL updates on arXiv.org arxiv.org
Commonsense knowledge (CSK) about concepts and their properties is helpful
for AI applications. Prior works, such as ConceptNet, have compiled large CSK
collections. However, they are restricted in their expressiveness to
subject-predicate-object (SPO) triples with simple concepts for S and strings
for P and O. This paper presents a method called ASCENT++ to automatically
build a large-scale knowledge base (KB) of CSK assertions, with refined
expressiveness and both better precision and recall than prior works. ASCENT++
goes beyond SPO triples …
More from arxiv.org / cs.CL updates on arXiv.org
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