Attention-Enabled Multi-Layer Subword Joint Learning for Chinese Word Embedding

Information Science, Computer Science, Artificial Intelligence,
Chinese word embedding   Semantic analysis   Attention mechanism   Feature substring   Morphological information   Pronunciation information  

Academic Background In recent years, Chinese word embeddings have attracted significant attention in the field of Natural Language Processing (NLP). Unlike English, the complex and diverse structure of Chinese characters presents unique challenges for semantic representation. Traditional word vector models, such as Word2Vec, often fail to fully cap...

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Transformer   EEG classification   Deep learning   Spatial-temporal information   Attention mechanism   Brain-Computer Interface  

Research Background and Objectives In recent years, Brain-Computer Interface (BCI) systems have been widely applied in the fields of neuroengineering and neuroscience. Electroencephalogram (EEG), as a data tool reflecting the activities of different neuronal groups in the central nervous system, has become a core research topic in these fields. How...