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Fine-tune BERT for Extractive Summarization

Fine-tune BERT for Extractive Summarization

25 March 2019
Yang Liu
ArXivPDFHTML

Papers citing "Fine-tune BERT for Extractive Summarization"

29 / 79 papers shown
Title
Model Extraction and Defenses on Generative Adversarial Networks
Model Extraction and Defenses on Generative Adversarial Networks
Hailong Hu
Jun Pang
SILM
MIACV
33
14
0
06 Jan 2021
An Embarrassingly Simple Model for Dialogue Relation Extraction
An Embarrassingly Simple Model for Dialogue Relation Extraction
Fuzhao Xue
Aixin Sun
Hao Zhang
Jinjie Ni
Eng Siong Chng
27
27
0
27 Dec 2020
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
216
138
0
08 Dec 2020
Topic-Centric Unsupervised Multi-Document Summarization of Scientific
  and News Articles
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Amanuel Alambo
Cori Lohstroh
Erik Madaus
Swati Padhee
Brandy Foster
Tanvi Banerjee
K. Thirunarayan
M. Raymer
30
15
0
03 Nov 2020
Improving BERT Performance for Aspect-Based Sentiment Analysis
Improving BERT Performance for Aspect-Based Sentiment Analysis
Akbar Karimi
L. Rossi
Andrea Prati
35
48
0
22 Oct 2020
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
Jiaxin Ju
Ming Liu
Longxiang Gao
Shirui Pan
68
13
0
19 Oct 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural
  Summarization Systems
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
38
24
0
11 Oct 2020
Continual BERT: Continual Learning for Adaptive Extractive Summarization
  of COVID-19 Literature
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
Jongjin Park
CLL
33
15
0
07 Jul 2020
Revisiting Few-sample BERT Fine-tuning
Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang
Felix Wu
Arzoo Katiyar
Kilian Q. Weinberger
Yoav Artzi
41
442
0
10 Jun 2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language
  Models in Grammatical Error Correction
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
Masahiro Kaneko
Masato Mita
Shun Kiyono
Jun Suzuki
Kentaro Inui
35
143
0
03 May 2020
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Tuhin Chakrabarty
Christopher Hidey
Smaranda Muresan
Kathy Mckeown
Alyssa Hwang
14
84
0
30 Apr 2020
Multiscale Collaborative Deep Models for Neural Machine Translation
Multiscale Collaborative Deep Models for Neural Machine Translation
Xiangpeng Wei
Heng Yu
Yue Hu
Yue Zhang
Rongxiang Weng
Weihua Luo
27
28
0
29 Apr 2020
A Hierarchical Network for Abstractive Meeting Summarization with
  Cross-Domain Pretraining
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
Chenguang Zhu
Ruochen Xu
Michael Zeng
Xuedong Huang
BDL
AI4TS
26
18
0
04 Apr 2020
Abstractive Text Summarization based on Language Model Conditioning and
  Locality Modeling
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
Dmitrii Aksenov
J. Moreno-Schneider
Peter Bourgonje
Robert Schwarzenberg
Leonhard Hennig
Georg Rehm
27
26
0
29 Mar 2020
Sato: Contextual Semantic Type Detection in Tables
Sato: Contextual Semantic Type Detection in Tables
Dan Zhang
Yoshihiko Suhara
Jinfeng Li
Madelon Hulsebos
cCaugatay Demiralp
W. Tan
LMTD
24
15
0
14 Nov 2019
Rethinking Self-Attention: Towards Interpretability in Neural Parsing
Rethinking Self-Attention: Towards Interpretability in Neural Parsing
Khalil Mrini
Franck Dernoncourt
Quan Tran
Trung Bui
W. Chang
Ndapandula Nakashole
MILM
LRM
18
29
0
10 Nov 2019
A neural document language modeling framework for spoken document
  retrieval
A neural document language modeling framework for spoken document retrieval
Li-Phen Yen
Zheng-Yu Wu
Kuan-Yu Chen
3DGS
22
0
0
31 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
45
728
0
28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
144
19,578
0
23 Oct 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models
A Closer Look at Data Bias in Neural Extractive Summarization Models
Ming Zhong
Danqing Wang
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
50
42
0
30 Sep 2019
Summary Level Training of Sentence Rewriting for Abstractive
  Summarization
Summary Level Training of Sentence Rewriting for Abstractive Summarization
Sanghwan Bae
Taeuk Kim
Jihoon Kim
Sang-goo Lee
38
68
0
19 Sep 2019
Countering the Effects of Lead Bias in News Summarization via
  Multi-Stage Training and Auxiliary Losses
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander
Yue Dong
Jackie C.K. Cheung
Annie Louis
27
35
0
08 Sep 2019
Understanding the Impact of Text Highlighting in Crowdsourcing Tasks
Understanding the Impact of Text Highlighting in Crowdsourcing Tasks
Jorge M. Ramírez
Marcos Báez
Fabio Casati
B. Benatallah
19
18
0
06 Sep 2019
Encode, Tag, Realize: High-Precision Text Editing
Encode, Tag, Realize: High-Precision Text Editing
Eric Malmi
Sebastian Krause
S. Rothe
Daniil Mirylenka
Aliaksei Severyn
3DV
19
170
0
03 Sep 2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
S. Rothe
Shashi Narayan
Aliaksei Severyn
SILM
76
433
0
29 Jul 2019
What is this Article about? Extreme Summarization with Topic-aware
  Convolutional Neural Networks
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
34
18
0
19 Jul 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu-Chiang Frank Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
80
1,551
0
08 May 2019
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
273
1,896
0
10 Jan 2017
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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