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A Hybrid Word-Character Approach to Abstractive Summarization

A Hybrid Word-Character Approach to Abstractive Summarization

27 February 2018
Chieh-Teng Chang
Chi-Chia Huang
Chih-Yuan Yang
Jane Yung-jen Hsu
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Papers citing "A Hybrid Word-Character Approach to Abstractive Summarization"

6 / 6 papers shown
Title
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
298
1,897
0
10 Jan 2017
A Convolutional Encoder Model for Neural Machine Translation
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring
Michael Auli
David Grangier
Yann N. Dauphin
41
450
0
07 Nov 2016
Distraction-Based Neural Networks for Document Summarization
Distraction-Based Neural Networks for Document Summarization
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
31
59
0
26 Oct 2016
Neural Summarization by Extracting Sentences and Words
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng
Mirella Lapata
42
806
0
23 Mar 2016
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
52
2,695
0
02 Sep 2015
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu
Qingcai Chen
Fangze Zhu
40
339
0
19 Jun 2015
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