Recent years have witnessed the rapid development of machine-learning-based intelligent
recruitment services. Along this line, a large number of emerging models have been …

Motivation Biomedical named entity recognition (BioNER) seeks to automatically recognize
biomedical entities in natural language text, serving as a necessary foundation for …

Expert curation is essential to capture knowledge of enzyme functions from the scientific
literature in FAIR open knowledgebases but cannot keep pace with the rate of new …

Materials science is an interdisciplinary field that studies the properties, structures, and
behaviors of different materials. A large amount of scientific literature contains rich …

Abstract Biomedical Named Entity Recognition (BioNER) is essential to bioinformatics
because it identifies and classifies biological entities in biomedical texts. With the increasing …

与单传感器相比, 多源传感器收集的多方面, 多类型信息对目标类型识别更有意义.
针对当前空中类型识别方法特征单一, 分类结果无法交叉验证, 准确率低的问题 …

The medical security privacy and named entity recognition (NER) technology under the
blockchain technology has been a hot topic in all walks of life. As a typical representative of …

Biomedical Named Entity Recognition (BNER) is a fundamental and important task in
biomedical text mining, aiming at automatically identifying and classifying biomedical …

Compared with single sensors, the multi-faceted and multi-type information collected by
multi-source sensors is more valuable for air target classification. In view of the current …