Natural Language Processing Techniques to Reveal Human-Computer Interaction for Development Research Topics-Reference-Cited by-同舟云学术

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Natural Language Processing Techniques to Reveal Human-Computer Interaction for Development Research Topics

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Artificial Intelligence and its Applications
language:
Short-container-title:

Author:

Chiyangwa Tawanda Blessing¹,van Biljon Judy²,Renaud Karen³

Affiliation:

1. Department of Computer Science, University of South Africa, Johannesburg, South Africa

2. Department of Information Systems University of South Africa Johannesburg, South Africa

3. Department of Computer Science University of Strathclyde/ University of South Africa Glasgow/Johannesburg

Funder

South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487923.3487932

Reference30 articles.

1. Automatic extraction of facts from press releases to generate news stories

2. The 'invisible' materiality of information technology

3. A systematic approach to searching: an efficient and complete method to develop literature searches

4. The AI Triad and What It Means for National Security Strategy

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Information Security Research in the Information Systems Discipline: A Thematic Review and Future Research Directions;ACM SIGMIS Database: the DATABASE for Advances in Information Systems;2024-07-31

2. Identifying Research Topics in Human-Computer Interaction for Development: What Value Can Natural Language Processing Techniques Add?;Lecture Notes in Networks and Systems;2024

3. Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Recent trends in mathematical expressions recognition: An LDA-based analysis;Expert Systems with Applications;2023-03

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