Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation

24 October 2020

Yashar Mehdad

Papers citing "Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation"

34 / 34 papers shown

Title
The Summary Loop: Learning to Write Abstractive Summaries Without Examples Philippe Laban Andrew Hsi Bloomberg John F. Canny Marti A. Hearst 37 56 0 11 May 2021
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 33 502 0 03 Nov 2020
GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou Pengfei Liu Hiroaki Hayashi Zhengbao Jiang Graham Neubig 26 258 0 15 Oct 2020
Compressive Summarization with Plausibility and Salience Modeling Shrey Desai Jiacheng Xu Greg Durrett 33 18 0 15 Oct 2020
SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher Dragomir R. Radev HILM 66 701 0 24 Jul 2020
Few-Shot Learning for Opinion Summarization Arthur Brazinskas Mirella Lapata Ivan Titov 16 2 0 30 Apr 2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising Ziyi Yang Chenguang Zhu R. Gmyr Michael Zeng Xuedong Huang Eric Darve 42 61 0 03 Jan 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 146 2,029 0 18 Dec 2019
Transforming Wikipedia into Augmented Data for Query-Focused Summarization Haichao Zhu Li Dong Furu Wei Bing Qin Ting Liu RALM 46 22 0 08 Nov 2019
Unsupervised Opinion Summarization as Copycat-Review Generation Arthur Brazinskas Mirella Lapata Ivan Titov 24 126 0 06 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 81 10,720 0 29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 58 739 0 28 Oct 2019
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization Taehee Jung Dongyeop Kang L. Mentch Eduard H. Hovy 38 50 0 30 Aug 2019
Exploring Domain Shift in Extractive Text Summarization Danqing Wang Pengfei Liu Ming Zhong Jie Fu Xipeng Qiu Xuanjing Huang 43 36 0 30 Aug 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 48 363 0 23 Aug 2019
Simple Unsupervised Summarization by Contextual Matching Jiawei Zhou Alexander M. Rush 26 32 0 31 Jul 2019
Facebook FAIR's WMT19 News Translation Task Submission Nathan Ng Kyra Yee Alexei Baevski Myle Ott Michael Auli Sergey Edunov VLM 42 394 0 15 Jul 2019
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization Eva Sharma Chen Li Lu Wang AILaw 46 224 0 10 Jun 2019
Sentence Centrality Revisited for Unsupervised Summarization Hao Zheng Mirella Lapata 27 169 0 08 Jun 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 78 2,306 0 29 Apr 2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis Ion Androutsopoulos Ioannis Konstas Alexandros Potamianos 30 83 0 07 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli VLM FaML 53 3,141 0 01 Apr 2019
Cross-lingual Language Model Pretraining Guillaume Lample Alexis Conneau 41 2,727 0 22 Jan 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks Byeongchang Kim Hyunwoo J. Kim Gunhee Kim 38 182 0 02 Nov 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization Shashi Narayan Shay B. Cohen Mirella Lapata AILaw 85 1,652 0 27 Aug 2018
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization Logan Lebanoff Kaiqiang Song Fei Liu 31 156 0 19 Aug 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 238 244 0 14 Jun 2018
Generating Wikipedia by Summarizing Long Sequences Peter J. Liu Mohammad Saleh Etienne Pot Ben Goodrich Ryan Sepassi Lukasz Kaiser Noam M. Shazeer CVBM 94 786 0 30 Jan 2018
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization Xinyu Hua Lu Wang 36 26 0 21 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 266 129,831 0 12 Jun 2017
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond Ramesh Nallapati Bowen Zhou Cicero Nogueira dos Santos Çağlar Gülçehre Bing Xiang AIMat 156 2,538 0 19 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 290 27,231 0 02 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization Günes Erkan Dragomir R. Radev 77 3,081 0 09 Sep 2011