Work

IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT

Year: 2020

Type: conference-paper

Abstract: This paper reports our submission to the shared Task 2: Identification of informative COVID-19 English tweets at W-NUT 2020.We attempted a few techniques, and we briefly explain here two models that showed promising results in tweet classification tasks: Distil-BERT and FastText.DistilBERT achieves a F 1 score of 0.7508 on the test set, which is the best of our submissions.

Source: Workshop on Noisy User-generated Text (W-NUT)

DOI: 10.18653/v1/2020.wnut-1.56

Authors: Supriya Chanda, Eshita Nandy, Sukomal Pal

Institutions: Indian Institute of Technology BHU, Gauhati University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W3100584540

FWCI: 0.095

Cites: 7

Cited by: 1

Related to: 10