Data Augmentation for Abstractive Query-Focused Multi-Document Summarization

2 March 2021

Papers citing "Data Augmentation for Abstractive Query-Focused Multi-Document Summarization"

7 / 7 papers shown

Title
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization Logan Lebanoff Kaiqiang Song Fei Liu 36 156 0 19 Aug 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies Max Grusky Mor Naaman Yoav Artzi 74 550 0 30 Apr 2018
Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models Tal Baumel Matan Eyal Michael Elhadad 62 98 0 23 Jan 2018
Neural Summarization by Extracting Sentences and Words Jianpeng Cheng Mirella Lapata 55 806 0 23 Mar 2016
A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush S. Chopra Jason Weston CVBM 110 2,695 0 02 Sep 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 171 18,534 0 06 Feb 2015
Scientific Paper Summarization Using Citation Summary Networks Vahed Qazvinian Dragomir R. Radev 3DV 93 317 0 10 Jul 2008