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...

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Detaylı Bibliyografya
Asıl Yazarlar: Aakanksha Naik, Jill Lehman, Carolyn Rosé
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: The MIT Press 2022-01-01
Seri Bilgileri:Transactions of the Association for Computational Linguistics
Online Erişim:https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00500/112917/Adapting-to-the-Long-Tail-A-Meta-Analysis-of