Representation learning for Stack Overflow posts: How far are we?

• Main Authors: HE, Junda, ZHOU, Xin, XU, Bowen, ZHANG, Ting, KIM, Kisub, YANG, Zhou, Ferdian, Thung, IVANA CLAIRINE IRSAN, David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Computing methodologies; Knowledge representation and reasoning; Software and its engineering; Software development process management; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9232; https://ink.library.smu.edu.sg/context/sis_research/article/10232/viewcontent/3635711.pdf
• Institution: Singapore Management University

The tremendous success of Stack Overflow has accumulated an extensive corpus of software engineering knowledge, thus motivating researchers to propose various solutions for analyzing its content. The performance of such solutions hinges significantly on the selection of representation models for Sta...