Work

PharmaQA.IT: an Italian dataset for Q&A in the pharmaceutical domain

Year: 2026

Type: conference-paper

Abstract: Kamyar Zeinalipour, Andrea Zugarini, Asya Zanollo, Leonardo Rigutini. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track). 2026.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-industry.70

Authors: Kamyar Zeinalipour, Andrea Zugarini, Asya Zanollo, Leonardo Rigutini

Institutions: University of Siena, Istituto Universitario di Studi Superiori di Pavia

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

Funder: Provincia Autonoma di Trento

OpenAlex ID: W7140088886

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