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        <title>BERT‘s The Word : Sarcasm Target Detection using BERT</title>
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        <namePart type="given">Pradeesh</namePart>
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    <abstract>In 2019, the Australasian Language Technology Association (ALTA) organised a shared task to detect the target of sarcastic comments posted on social media. However, there were no winners as it proved to be a difficult task. In this work, we revisit the task posted by ALTA by using transformers, specifically BERT, given the current success of the transformer-based model in various NLP tasks. We conducted our experiments on two BERT models (TD-BERT and BERT-AEN). We evaluated our model on the data set provided by ALTA (Reddit) and two additional data sets: ‘book snippets’ and ‘Tweets’. Our results show that our proposed method achieves a 15.2% improvement from the current state-of-the-art system on the Reddit data set and 4% improvement on Tweets.</abstract>
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%0 Conference Proceedings
%T BERT‘s The Word : Sarcasm Target Detection using BERT
%A Parameswaran, Pradeesh
%A Trotman, Andrew
%A Liesaputra, Veronica
%A Eyers, David
%Y Rahimi, Afshin
%Y Lane, William
%Y Zuccon, Guido
%S Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association
%D 2021
%8 December
%I Australasian Language Technology Association
%C Online
%F parameswaran-etal-2021-berts
%X In 2019, the Australasian Language Technology Association (ALTA) organised a shared task to detect the target of sarcastic comments posted on social media. However, there were no winners as it proved to be a difficult task. In this work, we revisit the task posted by ALTA by using transformers, specifically BERT, given the current success of the transformer-based model in various NLP tasks. We conducted our experiments on two BERT models (TD-BERT and BERT-AEN). We evaluated our model on the data set provided by ALTA (Reddit) and two additional data sets: ‘book snippets’ and ‘Tweets’. Our results show that our proposed method achieves a 15.2% improvement from the current state-of-the-art system on the Reddit data set and 4% improvement on Tweets.
%U https://aclanthology.org/2021.alta-1.21/
%P 185-191

Markdown (Informal)

[BERT’s The Word : Sarcasm Target Detection using BERT](https://aclanthology.org/2021.alta-1.21/) (Parameswaran et al., ALTA 2021)

• BERT’s The Word : Sarcasm Target Detection using BERT (Parameswaran et al., ALTA 2021)

ACL

• Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, and David Eyers. 2021. BERT’s The Word : Sarcasm Target Detection using BERT. In Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association, pages 185–191, Online. Australasian Language Technology Association.