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StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

26 March 2018
Ziyu Yao
Daniel S. Weld
Wei-Peng Chen
Huan Sun
ArXivPDFHTML

Papers citing "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow"

15 / 15 papers shown
Title
A parallel corpus of Python functions and documentation strings for
  automated code documentation and code generation
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
Antonio Valerio Miceli Barone
Rico Sennrich
65
158
0
07 Jul 2017
Abstract Syntax Networks for Code Generation and Semantic Parsing
Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich
Mitchell Stern
Dan Klein
93
362
0
25 Apr 2017
A Neural Architecture for Generating Natural Language Descriptions from
  Source Code Changes
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
Pablo Loyola
Edison Marrese-Taylor
Y. Matsuo
44
120
0
17 Apr 2017
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
161
714
0
25 May 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
56
385
0
22 Mar 2016
A Convolutional Attention Network for Extreme Summarization of Source
  Code
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis
Hao Peng
Charles Sutton
AI4TS
78
582
0
09 Feb 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
356
7,955
0
17 Aug 2015
Building End-To-End Dialogue Systems Using Generative Hierarchical
  Neural Network Models
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Iulian Serban
Alessandro Sordoni
Yoshua Bengio
Aaron Courville
Joelle Pineau
AILaw
143
1,754
0
17 Jul 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
323
3,538
0
10 Jun 2015
A Hierarchical Neural Autoencoder for Paragraphs and Documents
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li
Minh-Thang Luong
Dan Jurafsky
BDL
90
603
0
02 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 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
507
27,263
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
866
23,310
0
03 Jun 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
357
33,500
0
16 Oct 2013
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