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        <title>ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector</title>
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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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        <name type="personal">
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            <namePart type="given">Xiaodan</namePart>
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            <namePart type="given">Saif</namePart>
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    <abstract>This paper describes our system participating in the SemEval-2019 Task 3: EmoContext: Contextual Emotion Detection in Text. The goal was to for a given textual dialogue, i.e. a user utterance along with two turns of context, identify the emotion of user utterance as one of the emotion classes: Happy, Sad, Angry or Others. Our system: ConSSED is a configurable combination of semantic and sentiment neural models. The official task submission achieved a micro-average F1 score of 75.31 which placed us 16th out of 165 participating systems.</abstract>
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%0 Conference Proceedings
%T ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector
%A Poświata, Rafał
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F poswiata-2019-conssed
%X This paper describes our system participating in the SemEval-2019 Task 3: EmoContext: Contextual Emotion Detection in Text. The goal was to for a given textual dialogue, i.e. a user utterance along with two turns of context, identify the emotion of user utterance as one of the emotion classes: Happy, Sad, Angry or Others. Our system: ConSSED is a configurable combination of semantic and sentiment neural models. The official task submission achieved a micro-average F1 score of 75.31 which placed us 16th out of 165 participating systems.
%R 10.18653/v1/S19-2027
%U https://aclanthology.org/S19-2027
%U https://doi.org/10.18653/v1/S19-2027
%P 175-179

Markdown (Informal)

[ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector](https://aclanthology.org/S19-2027) (Poświata, SemEval 2019)

• ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector (Poświata, SemEval 2019)

ACL

• Rafał Poświata. 2019. ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 175–179, Minneapolis, Minnesota, USA. Association for Computational Linguistics.