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        <title>Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language</title>
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    <name type="personal">
        <namePart type="given">Anna</namePart>
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        <name type="personal">
            <namePart type="given">Diyi</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Rossana</namePart>
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    <abstract>Detecting abusive language is a significant research topic, which has received a lot of attention recently. Our work focused on detecting personal attacks in online conversations. State-of-the-art research on this task has largely used deep learning with word embeddings. We explored the use of sentiment lexicons as well as semantic lexicons towards improving the accuracy of the baseline Convolutional Neural Network (CNN) using regular word embeddings. This is a work in progress, limited by time constraints and appropriate infrastructure. Our preliminary results showed promise for utilizing lexicons, especially semantic lexicons, for the task of detecting abusive language.</abstract>
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%0 Conference Proceedings
%T Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language
%A Koufakou, Anna
%A Scott, Jason
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F koufakou-scott-2019-exploring
%X Detecting abusive language is a significant research topic, which has received a lot of attention recently. Our work focused on detecting personal attacks in online conversations. State-of-the-art research on this task has largely used deep learning with word embeddings. We explored the use of sentiment lexicons as well as semantic lexicons towards improving the accuracy of the baseline Convolutional Neural Network (CNN) using regular word embeddings. This is a work in progress, limited by time constraints and appropriate infrastructure. Our preliminary results showed promise for utilizing lexicons, especially semantic lexicons, for the task of detecting abusive language.
%U https://aclanthology.org/W19-3640
%P 129-131

Markdown (Informal)

[Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language](https://aclanthology.org/W19-3640) (Koufakou & Scott, WiNLP 2019)

• Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language (Koufakou & Scott, WiNLP 2019)

ACL

• Anna Koufakou and Jason Scott. 2019. Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language. In Proceedings of the 2019 Workshop on Widening NLP, pages 129–131, Florence, Italy. Association for Computational Linguistics.