TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection

Zhishen Yang; Sam Vijlbrief; Naoaki Okazaki

doi:10.18653/v1/S19-2061

TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection

Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki

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Abstract

This paper presents our contextual emotion detection system in approaching the SemEval2019 shared task 3: EmoContext: Contextual Emotion Detection in Text. This system cooperates with an emotion detection neural network method (Poria et al., 2017), emoji2vec (Eisner et al., 2016) embedding, word2vec embedding (Mikolov et al., 2013), and our proposed emoticon and emoji preprocessing method. The experimental results demonstrate the usefulness of our emoticon and emoji prepossessing method, and representations of emoticons and emoji contribute model’s emotion detection.

Anthology ID:: S19-2061
Volume:: Proceedings of the 13th International Workshop on Semantic Evaluation
Month:: June
Year:: 2019
Address:: Minneapolis, Minnesota, USA
Editors:: Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
Note:
Pages:: 350–354
Language:
URL:: https://aclanthology.org/S19-2061/
DOI:: 10.18653/v1/S19-2061
Bibkey:
Cite (ACL):: Zhishen Yang, Sam Vijlbrief, and Naoaki Okazaki. 2019. TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 350–354, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):: TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection (Yang et al., SemEval 2019)
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PDF:: https://aclanthology.org/S19-2061.pdf

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@inproceedings{yang-etal-2019-tokyotech,
    title = "{T}okyo{T}ech{\_}{NLP} at {S}em{E}val-2019 Task 3: Emotion-related Symbols in Emotion Detection",
    author = "Yang, Zhishen  and
      Vijlbrief, Sam  and
      Okazaki, Naoaki",
    editor = "May, Jonathan  and
      Shutova, Ekaterina  and
      Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.",
    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S19-2061/",
    doi = "10.18653/v1/S19-2061",
    pages = "350--354",
    abstract = "This paper presents our contextual emotion detection system in approaching the SemEval2019 shared task 3: EmoContext: Contextual Emotion Detection in Text. This system cooperates with an emotion detection neural network method (Poria et al., 2017), emoji2vec (Eisner et al., 2016) embedding, word2vec embedding (Mikolov et al., 2013), and our proposed emoticon and emoji preprocessing method. The experimental results demonstrate the usefulness of our emoticon and emoji prepossessing method, and representations of emoticons and emoji contribute model{'}s emotion detection."
}

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%0 Conference Proceedings
%T TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection
%A Yang, Zhishen
%A Vijlbrief, Sam
%A Okazaki, Naoaki
%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 yang-etal-2019-tokyotech
%X This paper presents our contextual emotion detection system in approaching the SemEval2019 shared task 3: EmoContext: Contextual Emotion Detection in Text. This system cooperates with an emotion detection neural network method (Poria et al., 2017), emoji2vec (Eisner et al., 2016) embedding, word2vec embedding (Mikolov et al., 2013), and our proposed emoticon and emoji preprocessing method. The experimental results demonstrate the usefulness of our emoticon and emoji prepossessing method, and representations of emoticons and emoji contribute model’s emotion detection.
%R 10.18653/v1/S19-2061
%U https://aclanthology.org/S19-2061/
%U https://doi.org/10.18653/v1/S19-2061
%P 350-354

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Markdown (Informal)

[TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection](https://aclanthology.org/S19-2061/) (Yang et al., SemEval 2019)

TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection (Yang et al., SemEval 2019)

ACL

Zhishen Yang, Sam Vijlbrief, and Naoaki Okazaki. 2019. TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 350–354, Minneapolis, Minnesota, USA. Association for Computational Linguistics.