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Hits 101 – 120 of 140
101
Caijia_Li_Lü_conversation1_20180803 ; caijia0019 ; Caijia: Cross-dialectal documentation of a highly endangered language in Guizhou Province of China
Li Kecai
;
Shanshan
;
Wang Jian
. - 2018
BASE
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102
Caijia_spirit_retrieving_Li_Kehui_20180723 ; caijia0014 ; Caijia: Cross-dialectal documentation of a highly endangered language in Guizhou Province of China
Shanshan
;
Li Kehui
;
Wang Jian
. - 2018
BASE
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103
The cow and the tiger(2) ; caijia0002 ; Caijia: Cross-dialectal documentation of a highly endangered language in Guizhou Province of China
Shanshan
;
Li Maomao
;
Wang Jian
. - 2018
BASE
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104
Longitudinal associations of family functioning with body mass index in Mexican-origin adolescents living in the U.S.
Heredia, Natalia I.
;
Wilkinson, Anna V.
;
Forman, Michele R.
. - 2018
BASE
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105
A neural network approach to chemical and gene/protein entity recognition in patents
Luo, Ling
;
Yang, Zhihao
;
Yang, Pei
;
Zhang, Yin
;
Wang, Lei
;
Wang, Jian
;
Lin, Hongfei
. - : Springer International Publishing, 2018
Abstract:
In biomedical research, patents contain the significant amount of information, and biomedical text mining has received much attention in patents recently. To accelerate the development of biomedical text mining for patents, the BioCreative V.5 challenge organized three tracks, i.e., chemical entity mention recognition (CEMP), gene and protein related object recognition (GPRO) and technical interoperability and performance of annotation servers, to focus on biomedical entity recognition in patents. This paper describes our neural network approach for the CEMP and GPRO tracks. In the approach, a bidirectional long short-term memory with a conditional random field layer is employed to recognize biomedical entities from patents. To improve the performance, we explored the effect of additional features (i.e., part of speech, chunking and named entity recognition features generated by the GENIA tagger) for the neural network model. In the official results, our best runs achieve the highest performances (a precision of 88.32%, a recall of 92.62%, and an F-score of 90.42% in the CEMP track; a precision of 76.65%, a recall of 81.91%, and an F-score of 79.19% in the GPRO track) among all participating teams in both tracks.
Keyword:
Research Article
URL:
http://www.ncbi.nlm.nih.gov/pubmed/30564940
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755562/
https://doi.org/10.1186/s13321-018-0318-3
BASE
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106
Disrupted Balance of Long- and Short-Range Functional Connectivity Density in Type 2 Diabetes Mellitus: A Resting-State fMRI Study
Liu, Daihong
;
Chen, Lihua
;
Duan, Shanshan
. - : Frontiers Media S.A., 2018
BASE
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107
A linguistic intuitionistic multi-criteria decision-making method based on the Frank Heronian mean operator and its application in evaluating coal mine safety [<Journal>]
Peng, Hong-gang
[Verfasser];
Wang, Jian-qiang
[Sonstige];
Cheng, Peng-fei
[Sonstige]
DNB Subject Category Language
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108
Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers [<Journal>]
Wang, Jian-qiang
[Verfasser];
Cao, Yong-xi
[Sonstige];
Zhang, Hong-yu
[Sonstige]
DNB Subject Category Language
Show details
109
Highly fluorescent cotton fiber based on luminescent carbon nanoparticles via a two-step hydrothermal synthesis method [<Journal>]
Yu, Yuan
[Verfasser];
Wang, Jian
[Sonstige];
Wang, Jidong
[Sonstige].
DNB Subject Category Language
Show details
110
Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
Sirunyan, Albert M
;
Tumasyan, Armen
;
Adam, Wolfgang
. - 2017
BASE
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111
Multi-Criteria Decision-Making Based On Generalized Prioritized Aggregation Operators Under Simplified Neutrosophic Uncertain Linguistic Environment ...
Zhang-Peng Tian
;
Wang, Jing
;
Zhang, Hong-Yu
. - : Zenodo, 2017
BASE
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112
Multi-Criteria Decision-Making Based On Generalized Prioritized Aggregation Operators Under Simplified Neutrosophic Uncertain Linguistic Environment ...
Zhang-Peng Tian
;
Wang, Jing
;
Zhang, Hong-Yu
. - : Zenodo, 2017
BASE
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113
Selecting Project Delivery Systems Based On Simplified Neutrosophic Linguistic Preference Relations ...
Sui-Zhi Luo
;
Cheng, Peng-Fei
;
Wang, Jian-Qiang
. - : Zenodo, 2017
BASE
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114
Selecting Project Delivery Systems Based On Simplified Neutrosophic Linguistic Preference Relations ...
Sui-Zhi Luo
;
Cheng, Peng-Fei
;
Wang, Jian-Qiang
. - : Zenodo, 2017
BASE
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115
Selecting Project Delivery Systems Based On Simplified Neutrosophic Linguistic Preference Relations ...
Sui-Zhi Luo
;
Cheng, Peng-Fei
;
Wang, Jian-Qiang
. - : Zenodo, 2017
BASE
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116
Selecting Project Delivery Systems Based On Simplified Neutrosophic Linguistic Preference Relations ...
Sui-Zhi Luo
;
Cheng, Peng-Fei
;
Wang, Jian-Qiang
. - : Zenodo, 2017
BASE
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117
An interval neutrosophic linguistic multi-criteria group decision-making method and its application in selecting medical treatment options [<Journal>]
Ma, Yin-xiang
[Verfasser];
Wang, Jian-qiang
[Sonstige];
Wang, Jing
[Sonstige].
DNB Subject Category Language
Show details
118
Simplified Neutrosophic Linguistic Multi-Criteria Group Decision-Making Approach To Green Product Development ...
Zhang-peng, Tian
;
Wang, Jing
;
Wang, Jian-qiang
. - : Zenodo, 2016
BASE
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119
New models for knowledge-based interpretation and qualitative simulation of the electrocardiogram.
Wang, Jian Tao.
. - : Engineering, 2015. : University of Leicester, 2015
In: ProQuest (2015)
BASE
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120
Single machine group scheduling with time dependent processing times and ready times
Wang, Ji-Bo
;
Wang, Jian-Jun
In:
Information sciences. - New York, NY : Elsevier Science Inc.
275 (2014), 226-231
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