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        <title>Pin_cod_ at SemEval-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect Turkish Offensive Tweets</title>
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        <namePart type="given">Pinar</namePart>
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            <title>Proceedings of the Fourteenth Workshop on Semantic Evaluation</title>
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            <namePart type="given">Aurelie</namePart>
            <namePart type="family">Herbelot</namePart>
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            <namePart type="given">Xiaodan</namePart>
            <namePart type="family">Zhu</namePart>
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            <namePart type="given">Alexis</namePart>
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        <name type="personal">
            <namePart type="given">Nathan</namePart>
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            <namePart type="given">Jonathan</namePart>
            <namePart type="family">May</namePart>
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        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Shutova</namePart>
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    <abstract>This paper describes a system (pin_cod_) built for SemEval 2020 Task 12: OffensEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). I present the system based on the architecture of bidirectional long short-term memory networks (BiLSTM) concatenated with lexicon-based features and a social-network specific feature and then followed by two fully connected dense layers for detecting Turkish offensive tweets. The pin cod ’s system achieved a macro F1-score of 0.7496 for Sub-task A - Offensive language identification in Turkish.</abstract>
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    <identifier type="doi">10.18653/v1/2020.semeval-1.281</identifier>
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%0 Conference Proceedings
%T Pin_cod_ at SemEval-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect Turkish Offensive Tweets
%A Arslan, Pinar
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F arslan-2020-pin
%X This paper describes a system (pin_cod_) built for SemEval 2020 Task 12: OffensEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). I present the system based on the architecture of bidirectional long short-term memory networks (BiLSTM) concatenated with lexicon-based features and a social-network specific feature and then followed by two fully connected dense layers for detecting Turkish offensive tweets. The pin cod ’s system achieved a macro F1-score of 0.7496 for Sub-task A - Offensive language identification in Turkish.
%R 10.18653/v1/2020.semeval-1.281
%U https://aclanthology.org/2020.semeval-1.281
%U https://doi.org/10.18653/v1/2020.semeval-1.281
%P 2117-2122

Markdown (Informal)

[Pin_cod_ at SemEval-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect Turkish Offensive Tweets](https://aclanthology.org/2020.semeval-1.281) (Arslan, SemEval 2020)

• Pin_cod_ at SemEval-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect Turkish Offensive Tweets (Arslan, SemEval 2020)

ACL

• Pinar Arslan. 2020. Pin_cod_ at SemEval-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect Turkish Offensive Tweets. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 2117–2122, Barcelona (online). International Committee for Computational Linguistics.