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UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding
This paper describes the UMDSub system that participated in Task 2 of
SemEval-2018. We developed a system that predicts an emoji given the raw text
in a English tweet. The system is a Multi-channel Convolutional Neural Network
based on subword embeddings for the representation of tweets. This model
improves on character or word based methods by about 2\%. Our system placed
21st of 48 participating systems in the official evaluation.Comment: 5 pages, to Appear in the Proceedings of the 12th International
Workshop on Semantic Evaluation (SemEval 2018), June 2018, New Orleans, L