SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS

Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron Artstein, Anton Leuski

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Abstract
We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS. The chatbot’s response database is com-piled from professional medical and public health resources in order to provide reliable information to users. The system’s backend is NPCEditor, a response selection platform trained on linked questions and answers; to our knowledge this is the first retrieval-based chatbot deployed on a large public social network.
Anthology ID:
W17-5544
Volume:
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Month:
August
Year:
2017
Address:
Saarbrücken, Germany
Editors:
Kristiina Jokinen, Manfred Stede, David DeVault, Annie Louis
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
370–373
Language:
URL:
https://aclanthology.org/W17-5544
DOI:
10.18653/v1/W17-5544
Bibkey:
Cite (ACL):
Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron Artstein, and Anton Leuski. 2017. SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 370–373, Saarbrücken, Germany. Association for Computational Linguistics.
Cite (Informal):
SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS (Brixey et al., SIGDIAL 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/W17-5544.pdf