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Attend to the Right Context: A Plug-and-Play Module for
  Content-Controllable Summarization

Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization

21 December 2022
Wen Xiao
Lesly Miculicich
Yang Liu
Pengcheng He
Giuseppe Carenini
    KELM
ArXivPDFHTML

Papers citing "Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization"

3 / 3 papers shown
Title
MACSum: Controllable Summarization with Mixed Attributes
MACSum: Controllable Summarization with Mixed Attributes
Yusen Zhang
Yang Liu
Ziyi Yang
Yuwei Fang
Yulong Chen
Dragomir R. Radev
Chenguang Zhu
Michael Zeng
Rui Zhang
13
15
0
09 Nov 2022
NEWTS: A Corpus for News Topic-Focused Summarization
NEWTS: A Corpus for News Topic-Focused Summarization
Seyed Ali Bahrainian
Sheridan Feucht
Carsten Eickhoff
61
24
0
31 May 2022
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
211
138
0
08 Dec 2020
1