Mineral named entity recognition (MNER) is the extraction for the specific types of entities
from unstructured Chinese mineral text, which is a prerequisite for building a mineral …

As the best substitute for antibiotics, antimicrobial peptides (AMPs) have important research
significance. Due to the high cost and difficulty of experimental methods for identifying …

Named Entity Recognition (NER) is one of the fundamental tasks in Natural Language
Processing (NLP), which aims to locate, extract, and classify named entities into a …

Named entity recognition is a task that extracts entities corresponding to predefined
categories. Although NER is important in processing user-generated texts such as those …

Weaponry equipment names belong to an important military naming entity that is difficult to
identify because of features, such as complex components, miscellaneous, and scarce …

The insufficiently long RF saturation duration and relaxation delay in chemical exchange
saturation transfer (CEST)‐MRI experiments may result in underestimation of CEST …

Bidirectional long short-term memory (Bi-LSTM), as one of the effective networks for
sequence labeling tasks, is widely used in named entity recognition (NER). However, the …

Ancient Chinese literature records many great historical figures, which is significant to the
understanding of Chinese history and culture. An important step in studying historical figures …

To address the problem that it is difficult for traditional opinion analysis models to accurately
analyze textual information of campus online public opinion in various formats, a deep …

Equipment fault diagnosis NER is to extract specific entities from Chinese equipment fault
diagnosis text, which is the premise of constructing an equipment fault diagnosis knowledge …