149 citations · 420 across the 21 of their papers we have counts for
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cs.CL2019★ 149 cited
Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata
Bidirectional Encoder Representations from Transformers (BERT) represents the latest incarnation of pretrained language models which have recently advanced a wide range of natural…
cs.CL2019★ 34 cited
Hierarchical Transformers for Multi-Document Summarization
Yang Liu, Mirella Lapata
In this paper, we develop a neural summarization model which can effectively process multiple input documents and distill Transformer architecture with the ability to encode docume…
cs.CL2019
Fine-tune BERT for Extractive Summarization
Yang Liu
BERT, a pre-trained Transformer model, has achieved ground-breaking performance on multiple NLP tasks. In this paper, we describe BERTSUM, a simple variant of BERT, for extractive…