Sequence labeling of biomedical entities, e.g., side effects or phenotypes, was a long-term task in BioNLP and MedNLP communities. Thanks to effects made among these communities, adverse reaction NER has developed dramatically in recent years. As an illuminative application, to achieve knowledge discovery via the combination of the text mining result and bioinformatics idea shed lights on the pharmacological mechanism research.
@inproceedings{zhou-etal-2018-crf,
title = "{CRF}-{LSTM} Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs",
author = "Zhou, Kaiyin and
Zhang, Sheng and
Meng, Xiangyu and
Luo, Qi and
Wang, Yuxing and
Ding, Ke and
Feng, Yukun and
Chen, Mo and
Cohen, Kevin and
Xia, Jingbo",
editor = "Demner-Fushman, Dina and
Cohen, Kevin Bretonnel and
Ananiadou, Sophia and
Tsujii, Junichi",
booktitle = "Proceedings of the {B}io{NLP} 2018 workshop",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-2321/",
doi = "10.18653/v1/W18-2321",
pages = "166--171",
abstract = "Sequence labeling of biomedical entities, e.g., side effects or phenotypes, was a long-term task in BioNLP and MedNLP communities. Thanks to effects made among these communities, adverse reaction NER has developed dramatically in recent years. As an illuminative application, to achieve knowledge discovery via the combination of the text mining result and bioinformatics idea shed lights on the pharmacological mechanism research."
}
%0 Conference Proceedings
%T CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs
%A Zhou, Kaiyin
%A Zhang, Sheng
%A Meng, Xiangyu
%A Luo, Qi
%A Wang, Yuxing
%A Ding, Ke
%A Feng, Yukun
%A Chen, Mo
%A Cohen, Kevin
%A Xia, Jingbo
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the BioNLP 2018 workshop
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F zhou-etal-2018-crf
%X Sequence labeling of biomedical entities, e.g., side effects or phenotypes, was a long-term task in BioNLP and MedNLP communities. Thanks to effects made among these communities, adverse reaction NER has developed dramatically in recent years. As an illuminative application, to achieve knowledge discovery via the combination of the text mining result and bioinformatics idea shed lights on the pharmacological mechanism research.
%R 10.18653/v1/W18-2321
%U https://aclanthology.org/W18-2321/
%U https://doi.org/10.18653/v1/W18-2321
%P 166-171
[CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs](https://aclanthology.org/W18-2321/) (Zhou et al., BioNLP 2018)