A Review on Language Models as Knowledge Bases

• URL: http://arxiv.org/abs/2204.06031v1
• Date: Tue, 12 Apr 2022 18:35:23 GMT
• Title: A Review on Language Models as Knowledge Bases
• Authors: Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona Diab, Marjan Ghazvininejad
• Abstract summary: Recently, there has been a surge of interest in the NLP community on the use of pretrained Language Models (LMs) as Knowledge Bases (KBs)
• Score: 55.035030134703995
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Recently, there has been a surge of interest in the NLP community on the use of pretrained Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs trained on a sufficiently large (web) corpus will encode a significant amount of knowledge implicitly in its parameters. The resulting LM can be probed for different kinds of knowledge and thus acting as a KB. This has a major advantage over traditional KBs in that this method requires no human supervision. In this paper, we present a set of aspects that we deem a LM should have to fully act as a KB, and review the recent literature with respect to those aspects.

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