Work

A Concise Overview of LeQua@CLEF 2022: Learning to Quantify

Year: 2022

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-13643-6_23

Authors: Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti

Institutions: Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", National Research Council

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Horizon 2020 Framework Programme

Awards: A European Excellence Centre for Media, Society and Democracy, G3542563520, G4397263494, G4937468798, G5871011076, SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics, G899169222

OpenAlex ID: W4292938137

FWCI: 1.498

Cites: 35

Cited by: 12

Related to: 10