Temporal Effects on Pre-trained Models for Language Processing Tasks
AbstractKeeping the performance of language technologies optimal as time passes is of great practical interest. We study temporal effects on model performance on downstream language tasks, establishing a nuanced terminology for such discussion and identifying factors essential to con...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2022-01-01
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| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00497/112912/Temporal-Effects-on-Pre-trained-Models-for |