A survey on deep learning for named entity recognition
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 …
belonging to predefined semantic types such as person, location, organization etc. NER …
A survey on mining stack overflow: question and answering (Q&A) community
Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on
software development. Thus, software engineering researchers have started mining the …
software development. Thus, software engineering researchers have started mining the …
Challenges in chatbot development: A study of stack overflow posts
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 …
effort. This is due to the fact that they allow users to communicate and control different …
Code and named entity recognition in stackoverflow
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 …
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
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 …
units often contain semantically relevant knowledge, and thus linkable for different purposes …
AnswerBot: Automated generation of answer summary to developers' technical questions
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 …
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
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 …
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
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 …
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
A domain glossary that organizes domain-specific concepts and their aliases and relations
is essential for knowledge acquisition and software development. Existing approaches use …
is essential for knowledge acquisition and software development. Existing approaches use …
Software entity recognition with noise-robust learning
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 …
enable many software engineering (SE) technologies, such as traceability link recovery …