Automatically Predicting Judgement Dimensions of Human Behaviour

Segun Taofeek Aroyehun, Alexander Gelbukh


Abstract
This paper describes our submission to the ALTA-2020 shared task on assessing behaviour from short text, We evaluate the effectiveness of traditional machine learning and recent transformers pre-trained models. Our submission with the Roberta-large model and prediction threshold achieved first place on the private leaderboard.
Anthology ID:
2020.alta-1.18
Volume:
Proceedings of the The 18th Annual Workshop of the Australasian Language Technology Association
Month:
December
Year:
2020
Address:
Virtual Workshop
Venue:
ALTA
SIG:
Publisher:
Australasian Language Technology Association
Note:
Pages:
131–134
Language:
URL:
https://aclanthology.org/2020.alta-1.18
DOI:
Bibkey:
Cite (ACL):
Segun Taofeek Aroyehun and Alexander Gelbukh. 2020. Automatically Predicting Judgement Dimensions of Human Behaviour. In Proceedings of the The 18th Annual Workshop of the Australasian Language Technology Association, pages 131–134, Virtual Workshop. Australasian Language Technology Association.
Cite (Informal):
Automatically Predicting Judgement Dimensions of Human Behaviour (Aroyehun & Gelbukh, ALTA 2020)
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PDF:
https://preview.aclanthology.org/author-url/2020.alta-1.18.pdf