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"

49 / 399 papers shown

Title
Can We Automate Scientific Reviewing? Weizhe Yuan Pengfei Liu Graham Neubig 83 84 0 30 Jan 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning Armen Aghajanyan Anchit Gupta Akshat Shrivastava Xilun Chen Luke Zettlemoyer Sonal Gupta 33 266 0 26 Jan 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 11 2,080 0 11 Jan 2021
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting Wangchunshu Zhou Tao Ge Canwen Xu Ke Xu Furu Wei LRM 16 15 0 02 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 20 4,098 0 01 Jan 2021
What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research Maartje ter Hoeve Julia Kiseleva Maarten de Rijke 38 7 0 14 Dec 2020
Movie Summarization via Sparse Graph Construction Pinelopi Papalampidi Frank Keller Mirella Lapata 24 32 0 14 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 27 106 0 14 Dec 2020
GLGE: A New General Language Generation Evaluation Benchmark Dayiheng Liu Yu Yan Yeyun Gong Weizhen Qi Hang Zhang ... Jiancheng Lv Ruofei Zhang Winnie Wu Ming Zhou Nan Duan ELM 40 66 0 24 Nov 2020
Detecting Hallucinated Content in Conditional Neural Sequence Generation Chunting Zhou Graham Neubig Jiatao Gu Mona T. Diab P. Guzmán Luke Zettlemoyer Marjan Ghazvininejad HILM 39 195 0 05 Nov 2020
ABNIRML: Analyzing the Behavior of Neural IR Models Sean MacAvaney Sergey Feldman Nazli Goharian Doug Downey Arman Cohan 23 49 0 02 Nov 2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles Yao Lu Yue Dong Laurent Charlin AILaw 26 113 0 27 Oct 2020
Pre-trained Summarization Distillation Sam Shleifer Alexander M. Rush 26 98 0 24 Oct 2020
GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou Pengfei Liu Hiroaki Hayashi Zhengbao Jiang Graham Neubig 11 256 0 15 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 49 174 0 12 Oct 2020
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 30 24 0 11 Oct 2020
Multi-Fact Correction in Abstractive Text Summarization Yue Dong Shuohang Wang Zhe Gan Yu Cheng Jackie C.K. Cheung Jingjing Liu KELM HILM 15 118 0 06 Oct 2020
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary Daniel Deutsch Tania Bedrax-Weiss Dan Roth 6 109 0 01 Oct 2020
Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model Vu Tran Minh Le Nguyen K. Satoh ELM AILaw 22 77 0 29 Sep 2020
Dataset for Automatic Summarization of Russian News I. Gusev 19 24 0 19 Jun 2020
A Generative Approach to Titling and Clustering Wikipedia Sections Anjalie Field S. Rothe Simon Baumgartner Cong Yu Abe Ittycheriah 26 4 0 22 May 2020
Deep Learning for Political Science Kakia Chatsiou Slava Jankin AI4CE 34 12 0 13 May 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus He He Mona T. Diab HILM 23 384 0 07 May 2020
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management Dan Su Yan Xu Tiezheng Yu Farhad Bin Siddique Elham J. Barezi Pascale Fung RALM 16 31 0 04 May 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward Luyang Huang Lingfei Wu Lu Wang RALM 32 161 0 03 May 2020
MLSUM: The Multilingual Summarization Corpus Thomas Scialom Paul-Alexis Dray Sylvain Lamprier Benjamin Piwowarski Jacopo Staiano 29 173 0 30 Apr 2020
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization Dongyub Lee M. Shin Taesun Whang Seung Woo Cho Byeongil Ko Daniel Lee EungGyun Kim Jaechoon Jo 41 12 0 29 Apr 2020
QURIOUS: Question Generation Pretraining for Text Generation Shashi Narayan Gonçalo Simães Ji Ma Hannah Craighead Ryan T. McDonald 37 15 0 23 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 36 472 0 08 Apr 2020
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 41 392 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 1,209 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 31 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 45 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 21 727 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 69 433 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 17 182 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