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Dimsum @LaySumm 20: BART-based Approach for Scientific Document
  Summarization

Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization

19 October 2020
Tiezheng Yu
Dan Su
Wenliang Dai
Pascale Fung
ArXivPDFHTML

Papers citing "Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization"

5 / 5 papers shown
Title
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Wenliang Dai
Samuel Cahyawijaya
Yejin Bang
Pascale Fung
CVBM
33
11
0
23 Apr 2021
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
246
215
0
07 Sep 2019
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
1,432
0
22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
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