Licai Wang
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Transformer-based prototype network for Chinese nested named entity recognition Open
Nested named entity recognition (NNER), a subtask of named entity recognition (NER), aims to recognize more types of entities and complex nested relationships, presenting challenges for real-world applications. Traditional methods, such as…
Multi-Head Hierarchical Attention Framework with Multi-Level Learning Optimization Strategy for Legal Text Recognition Open
Owing to the rapid increase in the amount of legal text data and the increasing demand for intelligent processing, multi-label legal text recognition is becoming increasingly important in practical applications such as legal information re…
Research on Bi-LSTM machine reading comprehension algorithm based on attention mechanism Open
Machine reading comprehension is a very important research field in Natural Language Processing (NLP), but it is not sufficient for military research, and traditional machine reading comprehension algorithms do not fully explore every word…
Trajectory time series classification algorithm based on conv-olutional self-attention mechanism Open
As a kind of time series data in the field of transportation, trajectory has complex multi-dimensional information. How to fully excavate the multi-dimensional information of the trajectory and analyse its complex dynamic pattern is an imp…