ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.11838
  4. Cited By
Copy mechanism and tailored training for character-based data-to-text
  generation

Copy mechanism and tailored training for character-based data-to-text generation

26 April 2019
Marco Roberti
Giovanni Bonetta
R. Cancelliere
Patrick Gallinari
ArXivPDFHTML

Papers citing "Copy mechanism and tailored training for character-based data-to-text generation"

20 / 20 papers shown
Title
Character-Level Language Modeling with Deeper Self-Attention
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou
Dokook Choe
Noah Constant
Mandy Guo
Llion Jones
126
391
0
09 Aug 2018
Challenges in Data-to-Document Generation
Challenges in Data-to-Document Generation
Sam Wiseman
Stuart M. Shieber
Alexander M. Rush
173
589
0
25 Jul 2017
The E2E Dataset: New Challenges For End-to-End Generation
The E2E Dataset: New Challenges For End-to-End Generation
Jekaterina Novikova
Ondrej Dusek
Verena Rieser
87
459
0
28 Jun 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
288
4,019
0
14 Apr 2017
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax
  Trees and Strings
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
Ondrej Dusek
Filip Jurcícek
52
187
0
17 Jun 2016
Achieving Open Vocabulary Neural Machine Translation with Hybrid
  Word-Character Models
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
Minh-Thang Luong
Christopher D. Manning
VLM
83
373
0
04 Apr 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
Victor O.K. Li
192
1,540
0
21 Mar 2016
What to talk about and how? Selective Generation using LSTMs with
  Coarse-to-Fine Alignment
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei
Joey Tianyi Zhou
Matthew R. Walter
64
289
0
02 Sep 2015
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
212
7,735
0
31 Aug 2015
Semantically Conditioned LSTM-based Natural Language Generation for
  Spoken Dialogue Systems
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
99
949
0
07 Aug 2015
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
118
3,050
0
09 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
124
5,584
0
07 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
283
4,484
0
20 Nov 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
Addressing the Rare Word Problem in Neural Machine Translation
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
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
434
20,541
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
546
27,300
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,344
0
03 Jun 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
190
5,342
0
21 Nov 2012
1