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Structural Language Models of Code
v1v2v3v4 (latest)

Structural Language Models of Code

30 September 2019
Uri Alon
Roy Sadaka
Omer Levy
Eran Yahav
ArXiv (abs)PDFHTMLGithub (88★)

Papers citing "Structural Language Models of Code"

16 / 16 papers shown
Title
Write, Execute, Assess: Program Synthesis with a REPL
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis
Maxwell Nye
Yewen Pu
Felix Sosa
J. Tenenbaum
Armando Solar-Lezama
84
166
0
09 Jun 2019
Learning Programmatic Idioms for Scalable Semantic Parsing
Learning Programmatic Idioms for Scalable Semantic Parsing
Srini Iyer
Alvin Cheung
Luke Zettlemoyer
69
45
0
19 Apr 2019
Learning Neurosymbolic Generative Models via Program Synthesis
Learning Neurosymbolic Generative Models via Program Synthesis
Halley Young
Osbert Bastani
Mayur Naik
NAI
54
31
0
24 Jan 2019
The Adverse Effects of Code Duplication in Machine Learning Models of
  Code
The Adverse Effects of Code Duplication in Machine Learning Models of Code
Miltiadis Allamanis
61
320
0
16 Dec 2018
Structured Neural Summarization
Structured Neural Summarization
Patrick Fernandes
Miltiadis Allamanis
Marc Brockschmidt
GNN
85
212
0
05 Nov 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic
Badal Singh
Anima Anandkumar
53
50
0
18 Oct 2018
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic
  Parsing and Code Generation
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
Pengcheng Yin
Graham Neubig
MU
61
232
0
05 Oct 2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain
  Semantic Parsing and Text-to-SQL Task
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu
Rui Zhang
Kai-Chou Yang
Michihiro Yasunaga
Dongxu Wang
...
Irene Li
Qingning Yao
Shanelle Roman
Zilin Zhang
Dragomir R. Radev
RALM
95
1,233
0
24 Sep 2018
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
803
0
01 Nov 2017
Neural Attribute Machines for Program Generation
Neural Attribute Machines for Program Generation
Matthew Amodio
Swarat Chaudhuri
Thomas W. Reps
49
35
0
25 May 2017
Towards String-to-Tree Neural Machine Translation
Towards String-to-Tree Neural Machine Translation
Roee Aharoni
Yoav Goldberg
NAI
49
154
0
16 Apr 2017
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
330
1,900
0
10 Jan 2017
DeepCoder: Learning to Write Programs
DeepCoder: Learning to Write Programs
Matej Balog
Alexander L. Gaunt
Marc Brockschmidt
Sebastian Nowozin
Daniel Tarlow
AIMatNAI
88
572
0
07 Nov 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
194
1,539
0
21 Mar 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
382
7,964
0
17 Aug 2015
Structured Generative Models of Natural Source Code
Structured Generative Models of Natural Source Code
Chris J. Maddison
Daniel Tarlow
82
171
0
02 Jan 2014
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