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        <title>Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations</title>
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        <namePart type="given">Bushra</namePart>
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    <name type="personal">
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    <abstract>Speech acts are the actions that a speaker intends when performing an utterance within conversations. In this paper, we proposed speech act classification for asynchronous conversations on Twitter using multiple machine learning methods including SVM and deep neural networks. We applied the proposed methods on the ArSAS tweets dataset. The obtained results show that superiority of deep learning methods compared to SVMs, where Bi-LSTM managed to achieve an accuracy of 87.5% and a macro-averaged F1 score 61.5%. We believe that our results are the first to be reported on the task of speech-act recognition for asynchronous conversations on Arabic Twitter.</abstract>
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    <identifier type="doi">10.18653/v1/W19-4620</identifier>
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%0 Conference Proceedings
%T Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations
%A Algotiml, Bushra
%A Elmadany, AbdelRahim
%A Magdy, Walid
%S Proceedings of the Fourth Arabic Natural Language Processing Workshop
%D 2019
%8 aug
%I Association for Computational Linguistics
%C Florence, Italy
%F algotiml-etal-2019-arabic
%X Speech acts are the actions that a speaker intends when performing an utterance within conversations. In this paper, we proposed speech act classification for asynchronous conversations on Twitter using multiple machine learning methods including SVM and deep neural networks. We applied the proposed methods on the ArSAS tweets dataset. The obtained results show that superiority of deep learning methods compared to SVMs, where Bi-LSTM managed to achieve an accuracy of 87.5% and a macro-averaged F1 score 61.5%. We believe that our results are the first to be reported on the task of speech-act recognition for asynchronous conversations on Arabic Twitter.
%R 10.18653/v1/W19-4620
%U https://aclanthology.org/W19-4620
%U https://doi.org/10.18653/v1/W19-4620
%P 183-191

Markdown (Informal)

[Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations](https://aclanthology.org/W19-4620) (Algotiml et al., 2019)

• Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations (Algotiml et al., 2019)

ACL

• Bushra Algotiml, AbdelRahim Elmadany, and Walid Magdy. 2019. Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations. In Proceedings of the Fourth Arabic Natural Language Processing Workshop, pages 183–191, Florence, Italy. Association for Computational Linguistics.