Analysis of community question‐answering issues via machine learning and deep learning:State‐of‐the‐art review

Roy, Pradeep Kumar, Saumya, Sunil, Singh, Jyoti Prakash et al. (2 more authors) (2023) Analysis of community question‐answering issues via machine learning and deep learning:State‐of‐the‐art review. CAAI Transactions on Intelligence Technology. pp. 95-117. ISSN 2468-2322

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022The Authors.

Keywords: answer quality,community question answering,deep learning,expert user,Machine Learning,question quality
Dates:
  • Published: March 2023
  • Published (online): 4 May 2022
  • Accepted: 11 February 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > The York Management School
Depositing User: Pure (York)
Date Deposited: 06 May 2022 12:00
Last Modified: 08 Mar 2025 00:09
Published Version: https://doi.org/10.1049/cit2.12081
Status: Published
Refereed: Yes
Identification Number: 10.1049/cit2.12081
Open Archives Initiative ID (OAI ID):

Download

Filename: CAAI_Trans_on_Intel_Tech_2022_Roy_Analysis_of_community_question_answering_issues_via_machine_learning_and_deep.pdf

Description: CAAI Trans on Intel Tech - 2022 - Roy - Analysis of community question‐answering issues via machine learning and deep

Licence: CC-BY 2.5

Export

Statistics