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.
| Original language | English (US) |
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| Title of host publication | NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop |
| Editors | Marianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 395-399 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781948087209 |
| State | Published - 2018 |
| Event | 12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the - New Orleans, United States Duration: Jun 5 2018 → Jun 6 2018 |
Publication series
| Name | NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop |
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Conference
| Conference | 12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the |
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| Country/Territory | United States |
| City | New Orleans |
| Period | 6/5/18 → 6/6/18 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computational Linguistics