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AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree. (arXiv:2201.07984v1 [cs.AI])
Jan. 21, 2022, 2:10 a.m. | Rong Liang, Yujie Lu, Zhen Huang, Tiehua Zhang, Yuze Liu
cs.LG updates on arXiv.org arxiv.org
Using a pre-trained language model (i.e. BERT) to apprehend source codes has
attracted increasing attention in the natural language processing community.
However, there are several challenges when it comes to applying these language
models to solve programming language (PL) related problems directly, the
significant one of which is the lack of domain knowledge issue that
substantially deteriorates the model's performance. To this end, we propose the
AstBERT model, a pre-trained language model aiming to better understand the PL
using the …
More from arxiv.org / cs.LG updates on arXiv.org
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