APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT.

Yiming Zhu|Zhizhuo Yin|Gareth Tyson|Ehsan ul Haq|Lik-Hang Lee|Pan Hui


Anthology ID:DBLP:conf/www/ZhuYTHL024
Volume:Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:245-255
URL:https://doi.org/10.1145/3589334.3645642
DOI:https://doi.org/10.1145/3589334.3645642
DBLP:conf/www/ZhuYTHL024
BibTeX:
@inproceedings{zhu-2024-aptpipe, author = {Yiming Zhu and Zhizhuo Yin and Gareth Tyson and Ehsan ul Haq and Lik-Hang Lee and Pan Hui}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {245--255}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645642}, doi = {https://doi.org/10.1145/3589334.3645642} }