Work

Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-40498-6_6

Authors: György Orosz, Gergő Szabó, Péter Berkecz, Zsolt Szántó, Richárd Farkas

Institution: University of Szeged

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

OpenAlex ID: W4386058729

FWCI: 1.511

Cites: 25

Cited by: 8

Related to: 10