Work

The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents

Year: 2022

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-99739-7_50

Authors: Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Zubair Afzal, Trevor Cohn, Timothy Baldwin, Karin Verspoor

Institutions: The University of Melbourne, RMIT University, Fujitsu (Japan), Elsevier BV (Netherlands)

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W4226428300

FWCI: 2.327

Cites: 15

Cited by: 3

Related to: 10