Improving Code Search with Co-Attentive Representation Learning-Reference-Cited by-同舟云学术

Improving Code Search with Co-Attentive Representation Learning

Published:2020-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Program Comprehension
language:
Short-container-title:

Author:

Shuai Jianhang¹,Xu Ling¹,Liu Chao²,Yan Meng¹,Xia Xin³,Lei Yan¹

Affiliation:

1. Chongqing University, Chongqing, China

2. Zhejiang University Hangzhou, Zhejiang, China

3. Monash University, Melbourne, VIC, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3387904.3389269

Reference64 articles.

1. 2019. GitHub. Retrieved November 5 2019 from https://www.github.com 2019. GitHub. Retrieved November 5 2019 from https://www.github.com

2. Learning bilingual word embeddings with (almost) no bilingual data

3. Dzmitry Bahdanau Kyunghyun Cho and Y. Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. computer science 1409 (09 2014). Dzmitry Bahdanau Kyunghyun Cho and Y. Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. computer science 1409 (09 2014).

4. Enriching Word Vectors with Subword Information

5. Example-centric programming

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

2. Code semantic enrichment for deep code search;Journal of Systems and Software;2024-01

3. Survey of Code Search Based on Deep Learning;ACM Transactions on Software Engineering and Methodology;2023-12-23

4. KAPE: k NN-based Performance Testing for Deep Code Search;ACM Transactions on Software Engineering and Methodology;2023-12-21

5. Semantic similarity-based program retrieval: a multi-relational graph perspective;Frontiers of Computer Science;2023-12-13