【论文笔记】Recommendations for Datasets for Source Code Summarization

时间 2021-01-02

标签论文笔记机器学习人工智能繁體版

原文原文链接

Recommendations for Datasets for Source Code Summarization 文章目录 Recommendations for Datasets for Source Code Summarization 摘要 1 INTRODUCTION 2 RELATED WORK 3 DATASET PREPARATION 3.1 RESEARCH QUESTIONS

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1. 【论文笔记】 Reinforcement-Learning-Guided Source Code Summarization using Hierarchical Attention
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1. 【论文笔记】 Reinforcement-Learning-Guided Source Code Summarization using Hierarchical Attention
2. 【论文笔记】Improving Automatic Source Code Summarization via Deep Reinforcement Learning
3. 论文阅读笔记：Social Collaborative Filtering for Cold-start Recommendations
4. 论文阅读笔记：Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
5. 【论文笔记】Deep Reinforcement Learning for Page-wise Recommendations
6. 论文阅读笔记《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
7. 【论文】A neural attention model for abstractive sentence summarization 阅读笔记
8. 【论文笔记】Heterogeneous Graph Neural Networks for Extractive Document Summarization
9. 《A Neural Attention Model for Abstractive Sentence Summarization》论文笔记
10. Deep Communicating Agents for Abstractive Summarization论文分享

>>更多相关文章<<