Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery

J He; Dat Quoc Nguyen; Saber Akhondi; Christian Drukenbrodt; Camilo Thorne; Ralph Hoessel; Zubair Afzal; Zenan Zhai; Biaoyan Fang; Hiyori Yoshikawa; Ameer Albahem; Lawrence Cavedon; Trevor Cohn; Timothy Baldwin; Karin  Verspoor

Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery

J He, Dat Quoc Nguyen, Saber Akhondi, Christian Drukenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor

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

Original language	American English
Journal	Frontiers in Bioscience - Landmark
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

He, J., Nguyen, D. Q., Akhondi, S., Drukenbrodt, C., Thorne, C., Hoessel, R., Afzal, Z., Zhai, Z., Fang, B., Yoshikawa, H., Albahem, A., Cavedon, L., Cohn, T., Baldwin, T., & Verspoor, K. (2021). Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery. Frontiers in Bioscience - Landmark.

@article{428e2b9a638f450eadb9e9e5f4853ab1,

title = "Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery",

author = "J He and Nguyen, \{Dat Quoc\} and Saber Akhondi and Christian Drukenbrodt and Camilo Thorne and Ralph Hoessel and Zubair Afzal and Zenan Zhai and Biaoyan Fang and Hiyori Yoshikawa and Ameer Albahem and Lawrence Cavedon and Trevor Cohn and Timothy Baldwin and Karin Verspoor",

year = "2021",

language = "American English",

journal = "Frontiers in Bioscience - Landmark",

issn = "1093-9946",

publisher = "Frontiers in Bioscience",

}

He, J, Nguyen, DQ, Akhondi, S , Drukenbrodt, C , Thorne, C , Hoessel, R, Afzal, Z, Zhai, Z, Fang, B, Yoshikawa, H, Albahem, A, Cavedon, L, Cohn, T, Baldwin, T & Verspoor, K 2021, 'Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery', Frontiers in Bioscience - Landmark.

Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery. / He, J; Nguyen, Dat Quoc; Akhondi, Saber et al.
In: Frontiers in Bioscience - Landmark, 2021.

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

TY - JOUR

T1 - Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery

AU - He, J

AU - Nguyen, Dat Quoc

AU - Akhondi, Saber

AU - Drukenbrodt, Christian

AU - Thorne, Camilo

AU - Hoessel, Ralph

AU - Afzal, Zubair

AU - Zhai, Zenan

AU - Fang, Biaoyan

AU - Yoshikawa, Hiyori

AU - Albahem, Ameer

AU - Cavedon, Lawrence

AU - Cohn, Trevor

AU - Baldwin, Timothy

AU - Verspoor, Karin

PY - 2021

Y1 - 2021

M3 - Article

SN - 1093-9946

JO - Frontiers in Bioscience - Landmark

JF - Frontiers in Bioscience - Landmark

ER -

Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery

Projects

Information Extraction for Chemical Reactions with University of Melbourne

Cite this