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Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM

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成果类型:
会议论文
作者:
Zhong, Ran;Li, Xusheng;Sun, Xia;Fu, Chengcheng;He, Tingting;...
通讯作者:
Jiang, Xingpeng
作者机构:
[Zhong, Ran] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
[Fu, Chengcheng; Li, Xusheng; Sun, Xia; He, Tingting; Zhong, Ran; Jiang, Xingpeng] Cent China Normal Univ, Collaborat & Innovat Ctr, Wuhan, Peoples R China.
[Fu, Chengcheng; Li, Xusheng; Sun, Xia; He, Tingting; Jiang, Xingpeng] Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lea, Wuhan, Peoples R China.
通讯机构:
[Jiang, Xingpeng] C
Cent China Normal Univ, Collaborat & Innovat Ctr, Wuhan, Peoples R China.
Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lea, Wuhan, Peoples R China.
语种:
英文
关键词:
Relation Extraction;Microbial interaction;Text mining;Long Short-Term Memory;Deep Learning
期刊:
2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN:
2156-1125
年:
2019
页码:
723-726
会议名称:
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议论文集名称:
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
会议时间:
NOV 18-21, 2019
会议地点:
San Diego, CA
会议主办单位:
[Zhong, Ran] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.^[Zhong, Ran;Li, Xusheng;Sun, Xia;Fu, Chengcheng;He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Collaborat & Innovat Ctr, Wuhan, Peoples R China.^[Li, Xusheng;Sun, Xia;Fu, Chengcheng;He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lea, Wuhan, Peoples R China.
会议赞助商:
IEEE, NSF
主编:
Yoo, IH Bi, JB Hu, X
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-7281-1867-3
基金类别:
National Key Research and Development Program of China [2017YFC0909502]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008, 61872157]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU19ZN009]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Microorganisms play a vital role in various ecosystems, but their complex interaction is still unclear. With the publication of a large number of microbial literatures, many experimentally verified microbial interaction is dispersed therein. Organizing them into a database or knowledge graph can facilitate the development of microbiology research. Text mining technology is able to automatically extract and integrate these microbial interactions, as well as discover implicit information in literatures. For this purpose, we manually annotate a Microbial Interaction Corpus (MICorpus) containing 1...

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