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A Convolutional Attention Network for Extreme Summarization of Source Code

9 February 2016

Hao Peng

Papers citing "A Convolutional Attention Network for Extreme Summarization of Source Code"

30 / 180 papers shown

Title
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts Rohan Bavishi Michael Pradel Koushik Sen 118 63 0 31 Aug 2018
Mapping Language to Code in Programmatic Context Srinivasan Iyer Ioannis Konstas Alvin Cheung Luke Zettlemoyer 190 134 0 29 Aug 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 468 762 0 04 Aug 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler 205 267 0 19 Jun 2018
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow Pengcheng Yin Bowen Deng Edgar Chen Bogdan Vasilescu Graham Neubig 233 340 0 23 May 2018
A General Path-Based Representation for Predicting Program Properties Uri Alon Meital Zilberstein Omer Levy Eran Yahav 107 213 0 26 Mar 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 247 1,260 0 26 Mar 2018
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow Ziyu Yao Daniel S. Weld Wei-Peng Chen Huan Sun 98 106 0 26 Mar 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 197 624 0 15 Feb 2018
Combining Representation Learning with Logic for Language Processing Tim Rocktaschel NAI 93 6 0 27 Dec 2017
Code Completion with Neural Attention and Pointer Networks Jian Li Yue Wang Michael R. Lyu Irwin King 199 240 0 27 Nov 2017
Dialogue Act Recognition via CRF-Attentive Structured Network Zheqian Chen Rongqin Yang Zhou Zhao Deng Cai Xiaofei He 131 96 0 15 Nov 2017
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 263 857 0 01 Nov 2017
Semantic Code Repair using Neuro-Symbolic Transformation Networks Jacob Devlin J. Uesato Rishabh Singh Pushmeet Kohli NAI KELM 168 52 0 30 Oct 2017
Code Attention: Translating Code to Comments by Exploiting Domain Features Wenhao Zheng Hong-Yu Zhou Ming Li Jianxin Wu 61 20 0 22 Sep 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 296 930 0 18 Sep 2017
SmartPaste: Learning to Adapt Source Code Miltiadis Allamanis Marc Brockschmidt 90 23 0 22 May 2017
Deep Keyphrase Generation Rui Meng Sanqiang Zhao Shuguang Han Daqing He Peter Brusilovsky Yu Chi 223 353 0 23 Apr 2017
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes Pablo Loyola Edison Marrese-Taylor Y. Matsuo 98 130 0 17 Apr 2017
NEXT: A Neural Network Framework for Next POI Recommendation Zhiqian Zhang Chenliang Li Zhiyong Wu Aixin Sun Dengpan Ye Xiangyang Luo 96 80 0 15 Apr 2017
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks Min-Je Choi S. Jeong Hakjoo Oh Jaegul Choo 122 68 0 07 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig AIMat 225 182 0 05 Mar 2017
Exploring Different Dimensions of Attention for Uncertainty DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2016 Heike Adel Hinrich Schütze 165 50 0 20 Dec 2016
Joint Copying and Restricted Generation for Paraphrase Ziqiang Cao Chuwei Luo Wenjie Li Sujian Li 152 90 0 28 Nov 2016
Learning Python Code Suggestion with a Sparse Pointer Network Avishkar Bhoopchand Tim Rocktaschel Earl T. Barr Sebastian Riedel 125 89 0 24 Nov 2016
Reference-Aware Language Models Zichao Yang Phil Blunsom Chris Dyer Wang Ling 586 81 0 05 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis Pankajan Chanthirasegaran Pushmeet Kohli Charles Sutton CLL NAI 184 105 0 04 Nov 2016
Incorporating Discrete Translation Lexicons into Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2016 Philip Arthur Graham Neubig Satoshi Nakamura 148 216 0 07 Jun 2016
Deep API Learning Xiaodong Gu Hongyu Zhang Dongmei Zhang Sunghun Kim AIMat HAI 283 568 0 27 May 2016
Latent Predictor Networks for Code Generation Wang Ling Edward Grefenstette Karl Moritz Hermann Tomás Kociský A. Senior Fumin Wang Phil Blunsom 216 399 0 22 Mar 2016