Commonsense mining as knowledge base completion? A study on the impact of novelty

Seyedarian Hosseini
Seyedarian Hosseini
Michael Noukhovitch
Michael Noukhovitch

arXiv: Computation and Language, Volume abs/1804.09259, 2018.

Cited by: 0|Bibtex|Views173|DOI:https://doi.org/10.18653/v1/w18-1002
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Commonsense knowledge bases such as ConceptNet represent knowledge in the form of relational triples. Inspired by the recent work by Li et al., we analyse if knowledge base completion models can be used to mine commonsense knowledge from raw text. We propose novelty of predicted triples with respect to the training set as an important fac...More

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