Classify or Select: Neural Architectures for Extractive Document Summarization

14 November 2016

Papers citing "Classify or Select: Neural Architectures for Extractive Document Summarization"

11 / 11 papers shown

Title
Controlled Text Reduction Aviv Slobodkin Paul Roit Eran Hirsch Ori Ernst Ido Dagan 51 10 0 24 Oct 2022
An Extractive-and-Abstractive Framework for Source Code Summarization Weisong Sun Chunrong Fang Yuchen Chen Quanjun Zhang Guanhong Tao Tingxu Han Yifei Ge Yudu You Bin Luo 26 29 0 15 Jun 2022
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
A Divide-and-Conquer Approach to the Summarization of Long Documents Alexios Gidiotis Grigorios Tsoumakas 25 18 0 13 Apr 2020
Hybrid MemNet for Extractive Summarization A. Singh Manish Gupta Vasudeva Varma 13 17 0 25 Dec 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
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 22 361 0 23 Aug 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 38 52 0 03 Apr 2019
A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS) Kamal Al-Sabahi Zuping Zhang Mohammed Nadher 19 109 0 20 May 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies Max Grusky Mor Naaman Yoav Artzi 34 548 0 30 Apr 2018
OSU Multimodal Machine Translation System Report Mingbo Ma Dapeng Li Kai Zhao Liang Huang 35 15 0 07 Oct 2017