TY - GEN
T1 - The ChEMU 2022 Evaluation Campaign
T2 - 44th European Conference on Information Retrieval, ECIR 2022
AU - Li, Yuan
AU - Fang, Biaoyan
AU - He, Jiayuan
AU - Yoshikawa, Hiyori
AU - Akhondi, Saber A A.
AU - Druckenbrodt, Christian
AU - Thorne, Camilo
AU - Zhai, Zenan
AU - Afzal, Zubair
AU - Cohn, Trevor
AU - Baldwin, Timothy
AU - Verspoor, Karin
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The discovery of new chemical compounds is a key driver of the chemistry and pharmaceutical industries, and many other industrial sectors. Patents serve as a critical source of information about new chemical compounds. The ChEMU (Cheminformatics Elsevier Melbourne Universities) lab addresses information extraction over chemical patents and aims to advance the state of the art on this topic. ChEMU lab 2022, as part of the 13th Conference and Labs of the Evaluation Forum (CLEF-2022), will be the third ChEMU lab. The ChEMU 2020 lab provided two information extraction tasks, named entity recognition and event extraction. The ChEMU 2021 lab introduced two more tasks, chemical reaction reference resolution and anaphora resolution. For ChEMU 2022, we plan to re-run all the four tasks with a new task on semantic classification for tables as the fifth one. In this paper, we introduce ChEMU 2022, including its motivation, goals, tasks, resources, and evaluation framework.
AB - The discovery of new chemical compounds is a key driver of the chemistry and pharmaceutical industries, and many other industrial sectors. Patents serve as a critical source of information about new chemical compounds. The ChEMU (Cheminformatics Elsevier Melbourne Universities) lab addresses information extraction over chemical patents and aims to advance the state of the art on this topic. ChEMU lab 2022, as part of the 13th Conference and Labs of the Evaluation Forum (CLEF-2022), will be the third ChEMU lab. The ChEMU 2020 lab provided two information extraction tasks, named entity recognition and event extraction. The ChEMU 2021 lab introduced two more tasks, chemical reaction reference resolution and anaphora resolution. For ChEMU 2022, we plan to re-run all the four tasks with a new task on semantic classification for tables as the fifth one. In this paper, we introduce ChEMU 2022, including its motivation, goals, tasks, resources, and evaluation framework.
KW - Anaphora resolution
KW - Chemical patents
KW - Event extraction
KW - Named entity recognition
KW - Reaction reference resolution
KW - Table classification
KW - Text mining
UR - http://www.scopus.com/inward/record.url?scp=85167891807&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-99739-7_50
DO - 10.1007/978-3-030-99739-7_50
M3 - Conference contribution
AN - SCOPUS:85167891807
SN - 9783030997380
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 400
EP - 407
BT - Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings
A2 - Hagen, Matthias
A2 - Verberne, Suzan
A2 - Macdonald, Craig
A2 - Seifert, Christin
A2 - Balog, Krisztian
A2 - Nørvåg, Kjetil
A2 - Setty, Vinay
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 April 2022 through 14 April 2022
ER -