A survey on deep learning for named entity recognition

J Li, A Sun, J Han, C Li - IEEE transactions on knowledge and …, 2020 - ieeexplore.ieee.org
Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …

A survey on mining stack overflow: question and answering (Q&A) community

A Ahmad, C Feng, S Ge, A Yousif - Data Technologies and …, 2018 - emerald.com
Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on
software development. Thus, software engineering researchers have started mining the …

Challenges in chatbot development: A study of stack overflow posts

A Abdellatif, D Costa, K Badran… - Proceedings of the 17th …, 2020 - dl.acm.org
Chatbots are becoming increasingly popular due to their benefits in saving costs, time, and
effort. This is due to the fact that they allow users to communicate and control different …

Code and named entity recognition in stackoverflow

J Tabassum, M Maddela, W Xu, A Ritter - arxiv preprint arxiv:2005.01634, 2020 - arxiv.org
There is an increasing interest in studying natural language and computer code together, as
large corpora of programming texts become readily available on the Internet. For example …

Predicting semantically linkable knowledge in developer online forums via convolutional neural network

B Xu, D Ye, Z **ng, X **a, G Chen, S Li - Proceedings of the 31st IEEE …, 2016 - dl.acm.org
Consider a question and its answers in Stack Overflow as a knowledge unit. Knowledge
units often contain semantically relevant knowledge, and thus linkable for different purposes …

AnswerBot: Automated generation of answer summary to developers' technical questions

B Xu, Z **ng, X **a, D Lo - 2017 32nd IEEE/ACM international …, 2017 - ieeexplore.ieee.org
The prevalence of questions and answers on domain-specific Q&A sites like Stack Overflow
constitutes a core knowledge asset for software engineering domain. Although search …

[HTML][HTML] Domain-specific NLP system to support learning path and curriculum design at tech universities

NNY Vo, QT Vu, NH Vu, TA Vu, BD Mach… - Computers and Education …, 2022 - Elsevier
The tech sector has been growing at a rapid speed, demanding a higher level of expertise
from its labor force. New skills and programming languages are introduced and required by …

A comparison of natural language understanding platforms for chatbots in software engineering

A Abdellatif, K Badran, DE Costa… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Chatbots are envisioned to dramatically change the future of Software Engineering, allowing
practitioners to chat and inquire about their software projects and interact with different …

A learning-based approach for automatic construction of domain glossary from source code and documentation

C Wang, X Peng, M Liu, Z **ng, X Bai, B **e… - Proceedings of the 2019 …, 2019 - dl.acm.org
A domain glossary that organizes domain-specific concepts and their aliases and relations
is essential for knowledge acquisition and software development. Existing approaches use …

Software entity recognition with noise-robust learning

T Nguyen, Y Di, J Lee, M Chen… - 2023 38th IEEE/ACM …, 2023 - ieeexplore.ieee.org
Recognizing software entities such as library names from free-form text is essential to
enable many software engineering (SE) technologies, such as traceability link recovery …