Abstract
In this paper we present the system submitted to the SemEval2018 task2 : Multilingual Emoji Prediction. Our system approaches both languages as being equal by first; considering word embeddings associated to automatically computed features of different types, then by applying bagging algorithm RandomForest to predict the emoji of a tweet.- Anthology ID:
- S18-1081
- 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:
- 502–506
- Language:
- URL:
- https://aclanthology.org/S18-1081
- DOI:
- 10.18653/v1/S18-1081
- Cite (ACL):
- Gaël Guibon, Magalie Ochs, and Patrice Bellot. 2018. LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 502–506, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction (Guibon et al., SemEval 2018)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/S18-1081.pdf