ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task

Xingwu Lu, Xin Mao, Man Lan, Yuanbin Wu


Abstract
This paper describes our submissions to Task 2 in SemEval 2018, i.e., Multilingual Emoji Prediction. We first investigate several traditional Natural Language Processing (NLP) features, and then design several deep learning models. For subtask 1: Emoji Prediction in English, we combine two different methods to represent tweet, i.e., supervised model using traditional features and deep learning model. For subtask 2: Emoji Prediction in Spanish, we only use deep learning model.
Anthology ID:
S18-1068
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
433–437
Language:
URL:
https://www.aclweb.org/anthology/S18-1068
DOI:
10.18653/v1/S18-1068
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1068.pdf