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. 1701.04024
  4. Cited By
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good
  Performance on Task-Oriented Dialogue

A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue

15 January 2017
Mihail Eric
Christopher D. Manning
    BDL
ArXivPDFHTML

Papers citing "A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue"

20 / 20 papers shown
Title
Recent Advances and Challenges in Task-oriented Dialog System
Recent Advances and Challenges in Task-oriented Dialog System
Zheng Zhang
Ryuichi Takanobu
Qi Zhu
Minlie Huang
Xiaoyan Zhu
LLMAG
100
176
0
17 Mar 2020
Gated End-to-End Memory Networks
Gated End-to-End Memory Networks
Julien Perez
Fei Liu
LRM
28
103
0
13 Oct 2016
Data Recombination for Neural Semantic Parsing
Data Recombination for Neural Semantic Parsing
Robin Jia
Percy Liang
60
466
0
11 Jun 2016
Learning End-to-End Goal-Oriented Dialog
Learning End-to-End Goal-Oriented Dialog
Antoine Bordes
Y-Lan Boureau
Jason Weston
68
781
0
24 May 2016
A Network-based End-to-End Trainable Task-oriented Dialogue System
A Network-based End-to-End Trainable Task-oriented Dialogue System
Tsung-Hsien Wen
David Vandyke
N. Mrksic
Milica Gasic
L. Rojas-Barahona
Pei-hao Su
Stefan Ultes
S. Young
57
1,104
0
15 Apr 2016
Pointing the Unknown Words
Pointing the Unknown Words
Çağlar Gülçehre
Sungjin Ahn
Ramesh Nallapati
Bowen Zhou
Yoshua Bengio
38
524
0
26 Mar 2016
How NOT To Evaluate Your Dialogue System: An Empirical Study of
  Unsupervised Evaluation Metrics for Dialogue Response Generation
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu
Ryan J. Lowe
Iulian Serban
Michael Noseworthy
Laurent Charlin
Joelle Pineau
84
1,292
0
25 Mar 2016
Latent Predictor Networks for Code Generation
Latent Predictor Networks for Code Generation
Wang Ling
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
A. Senior
Fumin Wang
Phil Blunsom
45
385
0
22 Mar 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
129
1,539
0
21 Mar 2016
A Diversity-Promoting Objective Function for Neural Conversation Models
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li
Michel Galley
Chris Brockett
Jianfeng Gao
W. Dolan
90
2,380
0
11 Oct 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
316
7,951
0
17 Aug 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
118
1,765
0
03 May 2015
Grammar as a Foreign Language
Grammar as a Foreign Language
Oriol Vinyals
Lukasz Kaiser
Terry Koo
Slav Petrov
Ilya Sutskever
Geoffrey E. Hinton
78
930
0
23 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
850
149,474
0
22 Dec 2014
Random Walk Initialization for Training Very Deep Feedforward Networks
Random Walk Initialization for Training Very Deep Feedforward Networks
David Sussillo
L. F. Abbott
32
81
0
19 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
287
20,491
0
10 Sep 2014
Recurrent Neural Network Regularization
Recurrent Neural Network Regularization
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
104
2,768
0
08 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
390
27,205
0
01 Sep 2014
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Vu Pham
Théodore Bluche
Christopher Kermorvant
J. Louradour
85
566
0
05 Nov 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
385
7,650
0
03 Jul 2012
1