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1603.07771
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Neural Text Generation from Structured Data with Application to the Biography Domain
24 March 2016
R. Lebret
David Grangier
Michael Auli
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Papers citing
"Neural Text Generation from Structured Data with Application to the Biography Domain"
12 / 12 papers shown
Title
Attention with Intention for a Neural Network Conversation Model
Kaisheng Yao
Geoffrey Zweig
Baolin Peng
60
114
0
29 Oct 2015
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei
Joey Tianyi Zhou
Matthew R. Walter
66
289
0
02 Sep 2015
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Tsung-Hsien Wen
Milica Gasic
N. Mrksic
Pei-hao Su
David Vandyke
S. Young
101
949
0
07 Aug 2015
Neural Responding Machine for Short-Text Conversation
Lifeng Shang
Zhengdong Lu
Hang Li
117
1,145
0
09 Mar 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
346
10,070
0
10 Feb 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
127
5,585
0
07 Dec 2014
From Captions to Visual Concepts and Back
Hao Fang
Saurabh Gupta
F. Iandola
R. Srivastava
Li Deng
...
Xiaodong He
Margaret Mitchell
John C. Platt
C. L. Zitnick
Geoffrey Zweig
VLM
110
1,311
0
18 Nov 2014
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
243
6,029
0
17 Nov 2014
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Ryan Kiros
Ruslan Salakhutdinov
R. Zemel
VLM
125
1,399
0
10 Nov 2014
Addressing the Rare Word Problem in Neural Machine Translation
Thang Luong
Ilya Sutskever
Quoc V. Le
Oriol Vinyals
Wojciech Zaremba
AIMat
AAML
110
788
0
30 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
558
27,311
0
01 Sep 2014
Word Emdeddings through Hellinger PCA
R. Lebret
R. Collobert
84
230
0
19 Dec 2013
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