UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding

Zhenduo Wang, Ted Pedersen


Abstract
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.
Anthology ID:
S18-1060
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
395–399
Language:
URL:
https://aclanthology.org/S18-1060
DOI:
10.18653/v1/S18-1060
Bibkey:
Cite (ACL):
Zhenduo Wang and Ted Pedersen. 2018. UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 395–399, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding (Wang & Pedersen, SemEval 2018)
Copy Citation:
PDF:
https://aclanthology.org/S18-1060.pdf