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 in | Transactions of the Association for Computational Linguistics Vol. 10; pp. 257 - 273 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
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MIT Press
18.03.2022
MIT Press Journals, The The MIT Press |
Subjects | |
Online Access | Get full text |
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