Work

Synthetic Data for Identifying Inclusive Language (Case Study: Job Descriptions in Italian)

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Cyber Security and Resilience (CSR)

DOI: 10.1109/csr61664.2024.10679398

Authors: Tommaso Romano, Fatemeh Mohammadi, Paolo Ceravolo

Institution: University of Milan

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: closed

OpenAlex ID: W4402811677

FWCI: 0.317

Cites: 6

Cited by: 1

Related to: 10