Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
AbstractNatural language understanding (NLU) has made massive progress driven by large benchmarks, but benchmarks often leave a long tail of infrequent phenomena underrepresented. We reflect on the question: Have transfer learning methods sufficiently addressed the poor performance o...
| Hlavní autoři: | , , |
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| Médium: | Článek |
| Jazyk: | English |
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The MIT Press
2022-01-01
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| Edice: | Transactions of the Association for Computational Linguistics |
| On-line přístup: | https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00500/112917/Adapting-to-the-Long-Tail-A-Meta-Analysis-of |