SpanBERT: Improving Pre-training by Representing and Predicting Spans
We present SpanBERT, a pre-training method that is designed to better represent and predict spans of text. Our approach extends BERT by (1) masking contiguous random spans, rather than random tokens, and (2) training the span boundary representations to predict the entire content of the masked span,...
المؤلفون الرئيسيون: | , , , , , |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
The MIT Press
2020-07-01
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سلاسل: | Transactions of the Association for Computational Linguistics |
الوصول للمادة أونلاين: | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00300 |