Work

The QMUL/HRBDT contribution to the NADI Arabic Dialect Identification Shared Task

Year: 2020

Type: conference-paper

Source: Open Access at Essex (University of Essex)

Authors: Abdulrahman Aloraini, Massimo Poesio, Ayman Alhelbawy

Language: English

Topic: Authorship Attribution and Profiling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3119370506

FWCI: 0.191

Cites: 21

Cited by: 2

Related to: 10