Work

Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches

Year: 2024

Type: conference-paper

Source: International Artificial Intelligence and Data Processing Symposium (IDAP)

DOI: 10.1109/idap64064.2024.10711128

Authors: Mert İncidelen, Murat Aydoğan

Institution: Fırat University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403448104

FWCI: 2.65

Cites: 21

Cited by: 9

Related to: 10