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    <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.</abstract>
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%0 Conference Proceedings
%T Automatically Predicting Judgement Dimensions of Human Behaviour
%A Aroyehun, Segun Taofeek
%A Gelbukh, Alexander
%Y Kim, Maria
%Y Beck, Daniel
%Y Mistica, Meladel
%S Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association
%D 2020
%8 December
%I Australasian Language Technology Association
%C Virtual Workshop
%F aroyehun-gelbukh-2020-automatically
%X 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.
%U https://aclanthology.org/2020.alta-1.18
%P 131-134

Markdown (Informal)

[Automatically Predicting Judgement Dimensions of Human Behaviour](https://aclanthology.org/2020.alta-1.18) (Aroyehun & Gelbukh, ALTA 2020)

• Automatically Predicting Judgement Dimensions of Human Behaviour (Aroyehun & Gelbukh, ALTA 2020)

ACL

• Segun Taofeek Aroyehun and Alexander Gelbukh. 2020. Automatically Predicting Judgement Dimensions of Human Behaviour. In Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association, pages 131–134, Virtual Workshop. Australasian Language Technology Association.