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1909.13705
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A Closer Look at Data Bias in Neural Extractive Summarization Models
30 September 2019
Ming Zhong
Danqing Wang
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
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Papers citing
"A Closer Look at Data Bias in Neural Extractive Summarization Models"
9 / 9 papers shown
Title
SEMQA: Semi-Extractive Multi-Source Question Answering
Tal Schuster
Á. Lelkes
Haitian Sun
Jai Gupta
Jonathan Berant
W. Cohen
Donald Metzler
28
13
0
08 Nov 2023
On the State of German (Abstractive) Text Summarization
Dennis Aumiller
Jing Fan
Michael Gertz
16
1
0
17 Jan 2023
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
Dennis Aumiller
Ashish Chouhan
Michael Gertz
ELM
AILaw
29
35
0
24 Oct 2022
Unsupervised Multi-Granularity Summarization
Ming Zhong
Yang Liu
Suyu Ge
Yuning Mao
Yizhu Jiao
Xingxing Zhang
Yichong Xu
Chenguang Zhu
Michael Zeng
Jiawei Han
79
8
0
29 Jan 2022
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
Yi Liu
Guoan Zhang
Puning Yu
Jianlin Su
Shengfeng Pan
BDL
SyDa
18
5
0
26 Sep 2021
How well do you know your summarization datasets?
Priyam Tejaswin
Dhruv Naik
Peng Liu
13
26
0
21 Jun 2021
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Yiran Chen
Pengfei Liu
Ming Zhong
Zi-Yi Dou
Danqing Wang
Xipeng Qiu
Xuanjing Huang
ELM
12
24
0
11 Oct 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction
Luoqiu Li
Xiang Chen
Hongbin Ye
Zhen Bi
Shumin Deng
Ningyu Zhang
Huajun Chen
24
18
0
14 Sep 2020
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,252
0
14 Nov 2016
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