Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification
Yuting Guo, Mohammed Ali Al-Garadi, Abeed Sarker · 2020
This paper describes the system developed by the Emory team for the WNUT-2020 Task 2: "Identification of Informative COVID-19 English Tweet".Our system explores three recent Transformerbased deep learning models pretrained on largescale data to encode documents.Moreover, we developed two feature enrichment methods to enhance document embeddings by integrating emoji embeddings and syntactic features into deep learning models.Our system achieved F 1 -score of 0.897 and accuracy of 90.1% on the test set, and ranked in the top-third of all 55 teams.