Work

Using the RoBERTa and T5 Models for Analyzing Texts in Uzbek: NER Tasks and Punctuation Prediction

Year: 2024

Type: conference-paper

Source: Communications in computer and information science

DOI: 10.1007/978-3-031-72260-8_7

Authors: Fatima Аdilova, Rifqat Davronov, Ruzmat Safarov, Nilufar Abdurakhmonova, Samariddin Kushmurotov

Institutions: Academy of Sciences Republic of Uzbekistan, National University of Uzbekistan

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4402539637

FWCI: 0.153

Cites: 6

Cited by: 1

Related to: 10