A pre-trained Language Model for Chemical Patents

J He, Zenan Zhai, Saber Akhondi, Christian Drukenbrodt, Camilo Thorne, Hiyori Yoshikawa, Karin Verspoor

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	International Conference Recent Advances in Natural Language Processing, RANLP
State	Published - 2021

Information Extraction for Chemical Reactions with University of Melbourne
Verspoor, K. (PI), Akhondi, S. (CoPI), Tsatsaronis, G. (CoI), Drukenbrodt, C. (CoI), Thorne, C. (CoI), Hoessel, R. (CoI), Cohn, T. (CoI), Nguyen, D. Q. (CoI), Zhai, Z. (CoI), Fang, B. (CoI), Yohsikawa, H. (CoI) & Doornenbal, M. (CoI)
06/1/18 → 12/31/22
Project: Research

Cite this

@article{07fadd0581724020bbd4c5d35acf584e,

title = "A pre-trained Language Model for Chemical Patents",

author = "J He and Zenan Zhai and Saber Akhondi and Christian Drukenbrodt and Camilo Thorne and Hiyori Yoshikawa and Karin Verspoor",

year = "2021",

language = "American English",

journal = "International Conference Recent Advances in Natural Language Processing, RANLP",

issn = "1313-8502",

publisher = "Association for Computational Linguistics (ACL)",

}

TY - JOUR

T1 - A pre-trained Language Model for Chemical Patents

AU - He, J

AU - Zhai, Zenan

AU - Akhondi, Saber

AU - Drukenbrodt, Christian

AU - Thorne, Camilo

AU - Yoshikawa, Hiyori

AU - Verspoor, Karin

PY - 2021

Y1 - 2021

M3 - Article

SN - 1313-8502

JO - International Conference Recent Advances in Natural Language Processing, RANLP

JF - International Conference Recent Advances in Natural Language Processing, RANLP

ER -