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Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information. (arXiv:2109.13073v2 [cs.CL] UPDATED)
Aug. 26, 2022, 1:14 a.m. | Fengji Zhang, Xiao Yu, Jacky Keung, Fuyang Li, Zhiwen Xie, Zhen Yang, Caoyuan Ma, Zhimin Zhang
cs.CL updates on arXiv.org arxiv.org
Context: Stack Overflow is very helpful for software developers who are
seeking answers to programming problems. Previous studies have shown that a
growing number of questions are of low quality and thus obtain less attention
from potential answerers. Gao et al. proposed an LSTM-based model (i.e.,
BiLSTM-CC) to automatically generate question titles from the code snippets to
improve the question quality. However, only using the code snippets in the
question body cannot provide sufficient information for title generation, and
LSTMs …
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