Appropriate Incongruity Driven Human-AI Collaborative Tool to Assist Novices in Humorous Content Generation-Reference-Cited by-同舟云学术

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Appropriate Incongruity Driven Human-AI Collaborative Tool to Assist Novices in Humorous Content Generation

Published:2024-03-18 Issue: Volume: Page:650-659
ISSN:
Container-title:Proceedings of the 29th International Conference on Intelligent User Interfaces
language:
Short-container-title:

Author:

Kariyawasam Hasindu¹^ORCID,Niwarthana Amashi²^ORCID,Palmer Alister³^ORCID,Kay Judy⁴^ORCID,Withana Anusha⁴^ORCID

Affiliation:

1. School of Computer Science, University of Sydney, Australia and Department of Electronic and Telecommunication, University of Moratuwa, Sri Lanka

2. School of Computer Science, University of Sydney, Australia and Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka

3. School of Computer Science, University of Sydney, Australia

4. School of Computer Science, The University of Sydney, Australia

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640543.3645161

Reference49 articles.

1. Issa Annamoradnejad and Gohar Zoghi. 2022. ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor. arxiv:2004.12765 [cs.CL]

2. Humor

3. Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media, Inc., Sebastopol, California, USA.

4. Enriching Word Vectors with Subword Information

5. Change by Design

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