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资源简介:
bioNerDS v2 dictionary breakdown.
应用场景:
创建时间:
2016-09-28
相关数据集
medmentions-ner
MedMentions BioNER数据集是一个定制的预处理版本,专门用于生物医学命名实体识别(NER)任务。该数据集基于MedMentions数据集,包含128种来自UMLS语义类型的实体类别,采用BIO标注方案。数据集以英文为主要语言,分为训练集、验证集和测试集,比例分别为80%、10%和10%。每个句子由一系列单词和对应的BIO标签组成。
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The confidence score of the model on different named entities by BioEN.
The confidence score of the model on different named entities by BioEN.
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Additional file 8 of pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH terms
Additional file 8 Supplementary Table 6. MeSH term number in each category correctly identified by pyMeSHSim, Dnorm, TaggerOne and Nelson’s manual work.
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ToxHabits-NER: A Gold-Standard annotated Dataset for Named Entity Recognition in Toxic Habits context.
ToxHabits-NER stands for Toxic Habits Named Entity Recognition. It is a gold-standard annotated dataset focused on the detection and classification of toxic habit mentions — such as tobacco use, alcoh
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Proteins and chemicals mentioned in COVID-19 clinical trials
A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating th
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