ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents

@InProceedings{10.1007/978-3-030-45442-5_74,
    author="Nguyen, Dat Quoc
    and Zhai, Zenan
    and Yoshikawa, Hiyori
    and Fang, Biaoyan
    and Druckenbrodt, Christian
    and Thorne, Camilo
    and Hoessel, Ralph
    and Akhondi, Saber A.
    and Cohn, Trevor
    and Baldwin, Timothy
    and Verspoor, Karin",
    editor="Jose, Joemon M.
    and Yilmaz, Emine
    and Magalh{\~a}es, Jo{\~a}o
    and Castells, Pablo
    and Ferro, Nicola
    and Silva, M{\'a}rio J.
    and Martins, Fl{\'a}vio",
    title="ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents",
    booktitle="Advances in Information Retrieval",
    year="2020",
    publisher="Springer International Publishing",
    address="Cham",
    pages="572--579",
    abstract="We introduce a new evaluation lab named ChEMU (Cheminformatics Elsevier Melbourne University), part of the 11th Conference and Labs of the Evaluation Forum (CLEF-2020). ChEMU involves two key information extraction tasks over chemical reactions from patents. Task 1---Named entity recognition---involves identifying chemical compounds as well as their types in context, i.e., to assign the label of a chemical compound according to the role which the compound plays within a chemical reaction. Task 2---Event extraction over chemical reactions---involves event trigger detection and argument recognition. We briefly present the motivations and goals of the ChEMU tasks, as well as resources and evaluation methodology.",
    isbn="978-3-030-45442-5"
}