BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent
Summarization

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization

10 June 2019

Papers citing "BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization"

9 / 59 papers shown

Title
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling F. S. Bao Hebi Li Ge Luo Minghui Qiu Yinfei Yang Youbiao He Cen Chen 18 4 0 13 May 2020
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information Shen Gao Preslav Nakov Z. Ren Dongyan Zhao Rui Yan 23 48 0 10 May 2020
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization Rahul Jha Keping Bi Yang Li M. Pakdaman Asli Celikyilmaz Ivan Zhiboedov Kieran McDonald 25 2 0 05 May 2020
MLSUM: The Multilingual Summarization Corpus Thomas Scialom Paul-Alexis Dray Sylvain Lamprier Benjamin Piwowarski Jacopo Staiano 29 173 0 30 Apr 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
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 21 727 0 28 Oct 2019
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian Raymond Li Jonathan Pilault C. Pal 246 215 0 07 Sep 2019
Detecting (Un)Important Content for Single-Document News Summarization Yinfei Yang F. S. Bao A. Nenkova 27 18 0 26 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016