Time-Aware Language Models as Temporal Knowledge Bases

Many facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. However, most language models (LMs) are trained on snapshots of data collected at a specific moment in time. This can limit their utility, especially in the closed-book setting wher...

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Published inTransactions of the Association for Computational Linguistics Vol. 10; pp. 257 - 273
Main Authors Dhingra, Bhuwan, Cole, Jeremy R., Eisenschlos, Julian Martin, Gillick, Daniel, Eisenstein, Jacob, Cohen, William W.
Format Journal Article
LanguageEnglish
Published One Broadway, 12th Floor, Cambridge, Massachusetts 02142, USA MIT Press 18.03.2022
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