One Health concepts and challenges for surveillance, forecasting, and mitigation of plant disease beyond the traditional scope of crop production
Abstract The One Health approach to understanding disease epidemiology and achieving
surveillance and prevention is holistic, while focusing on zoonotic diseases. Many of its …
surveillance and prevention is holistic, while focusing on zoonotic diseases. Many of its …
Bacteria biotope at BioNLP open shared tasks 2019
This paper presents the fourth edition of the Bacteria Biotope task at BioNLP Open Shared
Tasks 2019. The task focuses on the extraction of the locations and phenotypes of …
Tasks 2019. The task focuses on the extraction of the locations and phenotypes of …
Text mining tools for extracting information about microbial biodiversity in food
Abstract Information on food microbial diversity is scattered across millions of scientific
papers. Researchers need tools to assist their bibliographic search in such large collections …
papers. Researchers need tools to assist their bibliographic search in such large collections …
C-Norm: a neural approach to few-shot entity normalization
Background Entity normalization is an important information extraction task which has
gained renewed attention in the last decade, particularly in the biomedical and life science …
gained renewed attention in the last decade, particularly in the biomedical and life science …
Omnicrobe, an open-access database of microbial habitats and phenotypes using a comprehensive text mining and data fusion approach
The dramatic increase in the number of microbe descriptions in databases, reports, and
papers presents a two-fold challenge for accessing the information: integration of …
papers presents a two-fold challenge for accessing the information: integration of …
TaeC: A manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature
Wheat varieties show a large diversity of traits and phenotypes. Linking them to genetic
variability is essential for shorter and more efficient wheat breeding programs. A growing …
variability is essential for shorter and more efficient wheat breeding programs. A growing …
An analysis of entity normalization evaluation biases in specialized domains
A Ferré, P Langlais - BMC bioinformatics, 2023 - Springer
Background Entity normalization is an important information extraction task which has
recently gained attention, particularly in the clinical/biomedical and life science domains. On …
recently gained attention, particularly in the clinical/biomedical and life science domains. On …
A graph-based approach for integrating biological heterogeneous data based on connecting ontology
S Zhang, Y Tang, J Yan, L Li, T Li, J Li… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Linked Open Data (LOD) is an ongoing effort in the Semantic Web community to build a
massive public knowledge graph. The goal is to extend the Web by publishing various open …
massive public knowledge graph. The goal is to extend the Web by publishing various open …
[PDF][PDF] 一种农业认知智能服务构建框架及其应用实践
许瑞清， 许多， 张隽美， 张红雨， 李兵… - 南京大学学报(自然 …, 2024 - researchgate.net
(1. 华中农业大学信息学院, 武汉, 430070; 2. 华中农业大学植物科学技术学院, 武汉, 430070; 3.
华中农业大学宏观农业研究院, 武汉, 430070; 4. 武汉大学计算机学院, 武汉, 430070; 5 …
华中农业大学宏观农业研究院, 武汉, 430070; 4. 武汉大学计算机学院, 武汉, 430070; 5 …
Exploiting Graph Embeddings from Knowledge Bases for Neural Biomedical Relation Extraction
Integrating external knowledge into neural models has been extensively studied to improve
the performance of pre-trained language models, especially in the biomedical domain. In …
the performance of pre-trained language models, especially in the biomedical domain. In …