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AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive
  Summarization

AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization

21 March 2021
Tiezheng Yu
Zihan Liu
Pascale Fung
    CLL
ArXivPDFHTML

Papers citing "AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization"

3 / 53 papers shown
Title
ScisummNet: A Large Annotated Corpus and Content-Impact Models for
  Scientific Paper Summarization with Citation Networks
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Michihiro Yasunaga
Jungo Kasai
Rui Zhang
Alexander R. Fabbri
Irene Z Li
Dan Friedman
Dragomir R. Radev
73
206
0
04 Sep 2019
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,433
0
22 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,984
0
20 Apr 2018
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