Exploring Explainable Selection to Control Abstractive Summarization

24 April 2020

Papers citing "Exploring Explainable Selection to Control Abstractive Summarization"

8 / 8 papers shown

Title
An Entity-Driven Framework for Abstractive Summarization Eva Sharma Luyang Huang Zhe Hu Lu Wang AI4TS 59 74 0 04 Sep 2019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization Xingxing Zhang Furu Wei M. Zhou 75 378 0 16 May 2019
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 176 11,542 0 15 Feb 2018
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 173 1,556 0 11 May 2017
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 242 4,011 0 14 Apr 2017
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 304 1,258 0 14 Nov 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 315 3,538 0 10 Jun 2015
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 115 3,048 0 09 Jun 2015