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        <title>UWB at SemEval-2018 Task 3: Irony detection in English tweets</title>
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        <namePart type="given">Tomáš</namePart>
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            <title>Proceedings of the 12th International Workshop on Semantic Evaluation</title>
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            <namePart type="given">Marianna</namePart>
            <namePart type="family">Apidianaki</namePart>
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            <namePart type="given">Saif</namePart>
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            <namePart type="given">Jonathan</namePart>
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            <namePart type="given">Ekaterina</namePart>
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    <abstract>This paper describes our system created for the SemEval-2018 Task 3: Irony detection in English tweets. Our strongly constrained system uses only the provided training data without any additional external resources. Our system is based on Maximum Entropy classifier and various features using parse tree, POS tags, and morphological features. Even without additional lexicons and word embeddings we achieved fourth place in Subtask A and seventh in Subtask B in terms of accuracy.</abstract>
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    <identifier type="doi">10.18653/v1/S18-1084</identifier>
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%0 Conference Proceedings
%T UWB at SemEval-2018 Task 3: Irony detection in English tweets
%A Hercig, Tomáš
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F hercig-2018-uwb
%X This paper describes our system created for the SemEval-2018 Task 3: Irony detection in English tweets. Our strongly constrained system uses only the provided training data without any additional external resources. Our system is based on Maximum Entropy classifier and various features using parse tree, POS tags, and morphological features. Even without additional lexicons and word embeddings we achieved fourth place in Subtask A and seventh in Subtask B in terms of accuracy.
%R 10.18653/v1/S18-1084
%U https://aclanthology.org/S18-1084
%U https://doi.org/10.18653/v1/S18-1084
%P 520-524

Markdown (Informal)

[UWB at SemEval-2018 Task 3: Irony detection in English tweets](https://aclanthology.org/S18-1084) (Hercig, SemEval 2018)

• UWB at SemEval-2018 Task 3: Irony detection in English tweets (Hercig, SemEval 2018)

ACL

• Tomáš Hercig. 2018. UWB at SemEval-2018 Task 3: Irony detection in English tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 520–524, New Orleans, Louisiana. Association for Computational Linguistics.