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Transductive Learning for Abstractive News Summarization

Transductive Learning for Abstractive News Summarization

17 April 2021
Arthur Bravzinskas
Mengwen Liu
Ramesh Nallapati
Sujith Ravi
Markus Dreyer
    AI4TS
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Papers citing "Transductive Learning for Abstractive News Summarization"

4 / 4 papers shown
Title
Efficient Few-Shot Fine-Tuning for Opinion Summarization
Efficient Few-Shot Fine-Tuning for Opinion Summarization
Arthur Bravzinskas
Ramesh Nallapati
Joey Tianyi Zhou
Markus Dreyer
19
24
0
04 May 2022
Improving Zero and Few-Shot Abstractive Summarization with Intermediate
  Fine-tuning and Data Augmentation
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Alexander R. Fabbri
Simeng Han
Haoyuan Li
Haoran Li
Marjan Ghazvininejad
Chenyu You
Dragomir R. Radev
Yashar Mehdad
123
95
0
24 Oct 2020
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,433
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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