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"

34 / 383 papers shown

Title
ABNIRML: Analyzing the Behavior of Neural IR Models Sean MacAvaney Sergey Feldman Nazli Goharian Doug Downey Arman Cohan 15 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 15 113 0 27 Oct 2020
Pre-trained Summarization Distillation Sam Shleifer Alexander M. Rush 26 98 0 24 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 43 173 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 27 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
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 20 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 23 4 0 22 May 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus He He Mona T. Diab HILM 14 384 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 11 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 24 173 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 31 15 0 23 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 10 472 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 20 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
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 1,203 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 29 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 10,609 0 29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 18 727 0 28 Oct 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing Shen Gao Xiuying Chen 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 14 35 0 08 Sep 2019
Exploring Domain Shift in Extractive Text Summarization Danqing Wang Pengfei Liu Ming Zhong Jie Fu Xipeng Qiu Xuanjing Huang 19 36 0 30 Aug 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 13 361 0 23 Aug 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,433 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
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 36 52 0 03 Apr 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks Byeongchang Kim Hyunwoo J. Kim Gunhee Kim 12 181 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