id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-13993	Ming, Daoyang; Xiong, Weicheng	The Source Code Comment Generation Based on Deep Reinforcement Learning and Hierarchical Attention	2023	8	.pdf	application/pdf	5751	335	52	This work proposes to adopt the hierarchical attention mechanism to enable the code summarization framework to translate three representations of source code to the hidden spce and then it injects them into a deep reinforcement learning model to enhance the performance of code summarization. However, these kind of approaches have the following drawbacks: (1) they mainly take the source code as plain text and ignore the hierarchical structure of the source code; (2) most of the approaches only consider simple features,such as,tokens,which overlooking the hidden information that can help grab the relationships between source code and comments; (3) they typically train the decoder to produce the code annotation by calculating and maximizing the odds based on the subsequent natural language words, however in fact, they mainly produce the code annotation from scratch.	cache/ajst-13993.pdf	txt/ajst-13993.txt