Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	American English
Title of host publication	Proceedings of the Workshop on Biomedical Natural Language Processing
State	Published - 2018

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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

@inproceedings{4ee3eb23da884e70a44352c6ead89e1f,

title = "Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings",

author = "Nguyen, \{Dat Quoc\} and Karin Verspoor",

year = "2018",

language = "American English",

booktitle = "Proceedings of the Workshop on Biomedical Natural Language Processing",

}