@inproceedings{mao-liu-2019-integration,
title = "Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature",
author = "Mao, Jihang and
Liu, Wanli",
editor = "Jin-Dong, Kim and
Claire, N{\'e}dellec and
Robert, Bossy and
Louise, Del{\'e}ger",
booktitle = "Proceedings of the 5th Workshop on BioNLP Open Shared Tasks",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-5724",
doi = "10.18653/v1/D19-5724",
pages = "168--173",
abstract = "In this paper, we present our participation in the Bacteria Biotope (BB) task at BioNLP-OST 2019. Our system utilizes fine-tuned language representation models and machine learning approaches based on word embedding and lexical features for entities recognition, normalization and relation extraction. It achieves the state-of-the-art performance and is among the top two systems in five of all six subtasks.",
}
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%0 Conference Proceedings
%T Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature
%A Mao, Jihang
%A Liu, Wanli
%Y Jin-Dong, Kim
%Y Claire, Nédellec
%Y Robert, Bossy
%Y Louise, Deléger
%S Proceedings of the 5th Workshop on BioNLP Open Shared Tasks
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F mao-liu-2019-integration
%X In this paper, we present our participation in the Bacteria Biotope (BB) task at BioNLP-OST 2019. Our system utilizes fine-tuned language representation models and machine learning approaches based on word embedding and lexical features for entities recognition, normalization and relation extraction. It achieves the state-of-the-art performance and is among the top two systems in five of all six subtasks.
%R 10.18653/v1/D19-5724
%U https://aclanthology.org/D19-5724
%U https://doi.org/10.18653/v1/D19-5724
%P 168-173
Markdown (Informal)
[Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature](https://aclanthology.org/D19-5724) (Mao & Liu, BioNLP 2019)
ACL