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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9232
https://ink.library.smu.edu.sg/context/sis_research/article/10232/viewcontent/3635711.pdf

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