Work

IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

Year: 2020

Type: conference-paper

Abstract: We introduce the IDSOU 1 submission for the WNUT-2020 task 2: identification of informative COVID-19 English Tweets.Our system is an ensemble of pre-trained language models such as BERT.We ranked 16th in the F1 score.

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

DOI: 10.18653/v1/2020.wnut-1.62

Authors: Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara

Institution: The University of Osaka

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Ministry of Education, Culture, Sports, Science and Technology

OpenAlex ID: W3104746486

FWCI: 0.095

Cites: 27

Cited by: 4

Related to: 10