GitHub issue classification using BERT-style models-Reference-Cited by-同舟云学术

GitHub issue classification using BERT-style models

Published:2022-05-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Natural Language-based Software Engineering
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Author:

Bharadwaj Shikhar¹,Kadam Tushar¹

Affiliation:

1. Indian Institute of Science, Bengaluru, Karnataka, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528588.3528663

Reference8 articles.

1. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

2. CodeBERT: A Pre-Trained Model for Programming and Natural Languages

3. NLBSE'22 tool competition

4. Ticket Tagger: Machine Learning Driven Issue Classification

5. Predicting issue types on GitHub

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