Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

27 August 2018

Papers citing "Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization"

20 / 420 papers shown

Title
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
Enhancing Factual Consistency of Abstractive Summarization Chenguang Zhu William Fu-Hinthorn Ruochen Xu Qingkai Zeng Michael Zeng Xuedong Huang Meng Jiang HILM KELM 193 40 0 19 Mar 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training Hangbo Bao Li Dong Furu Wei Wenhui Wang Nan Yang ... Yu-Chiang Frank Wang Songhao Piao Jianfeng Gao Ming Zhou H. Hon AI4CE 44 392 0 28 Feb 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 47 1,214 0 25 Feb 2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation Yun-Zhu Song Hong-Han Shuai Sung-Lin Yeh Yi-Lun Wu Lun-Wei Ku Wen-Chih Peng 37 21 0 06 Feb 2020
Generating Representative Headlines for News Stories Xiaotao Gu Yuning Mao Jiawei Han Jialu Liu Hongkun Yu You Wu Cong Yu Daniel Finnie Jiaqi Zhai Nicholas Zukoski 30 70 0 26 Jan 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 48 2,018 0 18 Dec 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 41 10,620 0 29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 42 728 0 28 Oct 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing Shen Gao Preslav Nakov Piji Li Zhangming Chan Dongyan Zhao Rui Yan 24 30 0 19 Sep 2019
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 22 35 0 08 Sep 2019
Exploring Domain Shift in Extractive Text Summarization Danqing Wang Pengfei Liu Ming Zhong Jie Fu Xipeng Qiu Xuanjing Huang 27 36 0 30 Aug 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 22 361 0 23 Aug 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,435 0 22 Aug 2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks S. Rothe Shashi Narayan Aliaksei Severyn SILM 71 433 0 29 Jul 2019
Scoring Sentence Singletons and Pairs for Abstractive Summarization Logan Lebanoff Kaiqiang Song Franck Dernoncourt Doo Soon Kim Seokhwan Kim W. Chang Fei Liu CVBM 30 103 0 31 May 2019
Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae Fei Liu 31 33 0 04 Apr 2019
Jointly Extracting and Compressing Documents with Summary State Representations Afonso Mendes Shashi Narayan Sebastião Miranda Zita Marinho André F. T. Martins Shay B. Cohen 44 52 0 03 Apr 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks Byeongchang Kim Hyunwoo J. Kim Gunhee Kim 23 182 0 02 Nov 2018
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