@inproceedings{du-nie-2018-mutux,
title = "Mutux at {S}em{E}val-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection",
author = "Du, Pan and
Nie, Jian-Yun",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1052",
doi = "10.18653/v1/S18-1052",
pages = "345--349",
abstract = "This paper describes MuTuX, our system that is designed for task 1-5a, emotion classification analysis of tweets on SemEval2018. The system aims at exploring the potential of context information of terms for emotion analysis. A Recurrent Neural Network is adopted to capture the context information of terms in tweets. Only term features and the sequential relations are used in our system. The results submitted ranks 16th out of 35 systems on the task of emotion detection in English-language tweets.",
}
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%0 Conference Proceedings
%T Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection
%A Du, Pan
%A Nie, Jian-Yun
%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 du-nie-2018-mutux
%X This paper describes MuTuX, our system that is designed for task 1-5a, emotion classification analysis of tweets on SemEval2018. The system aims at exploring the potential of context information of terms for emotion analysis. A Recurrent Neural Network is adopted to capture the context information of terms in tweets. Only term features and the sequential relations are used in our system. The results submitted ranks 16th out of 35 systems on the task of emotion detection in English-language tweets.
%R 10.18653/v1/S18-1052
%U https://aclanthology.org/S18-1052
%U https://doi.org/10.18653/v1/S18-1052
%P 345-349
Markdown (Informal)
[Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection](https://aclanthology.org/S18-1052) (Du & Nie, SemEval 2018)
ACL