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Source code summaries are short natural language descriptions of code snippets that help developers better understand and maintain source code.
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A Transformer-based Approach for Source Code Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL
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A Convolutional Attention Network for Extreme Summarization of Source Code. In ICML , Vol. 48. 2091–2100
Miltiadis Allamanis, Hao Peng, and Charles A. Sutton. 2016 · 2091
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Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. In WWW . 2091–2102
Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, and Guihai Chen. 2019 · 2091
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