Work

A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction

Year: 2026

Type: conference-paper

Abstract: Marco Martinelli, Stefano Marchesin, Vanessa Bonato, Giorgio Di Nunzio, Nicola Ferro, Ornella Irrera, Laura Menotti, Federica Vezzani, Gianmaria Silvello. Findings of the Association for Computational Linguistics: EACL 2026. 2026.

Source: Findings of the Association for Computational Linguistics: EACL

DOI: 10.18653/v1/2026.findings-eacl.301

Authors: Marco Martinelli, Stefano Marchesin, Vanessa Bonato, Giorgio Di Nunzio, Nicola Ferro, Ornella Irrera, Laura Menotti, Federica Vezzani, Gianmaria Silvello

Institution: University of Padua

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: European Commission, HORIZON EUROPE Framework Programme

Awards: G5415030073, HetERogeneous sEmantic Data integratIon for the guT-bRain interplaY

OpenAlex ID: W7140074262

FWCI: 25.31

Cites:

Cited by: 3

Related to: 10