A comparative study of name entity recognition techniques in software engineering texts
Michelle Y. Chew, Yi J. Cheng, Oliver Mahan, Md. Rakibul Islam · Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing · 2022
Named Entity Recognition (NER) is an essential sub-task for many important tasks in software engineering (SE), such as automated requirement analysis, opinion mining, question answering, knowledge base construction, and information retrieval. As existing domain-independent NER approaches perform low when applied in the SE domain, we observe the development of different tools and techniques for NER in this domain recently. Despite those developments, we lack our understanding of the effectiveness of the deep learning based state-of-the-art models and existing popular machine learning based tools for NER in SE texts.