Attention to Syntax and Semantics

Key Points

• This research aims to present a new attention mechanism that integrates both syntax and semantics in deep learning models.
• Introduced an implicit deep learning model for learning Q-K-V embeddings and contextual token representations.
• Developed a mechanism to capture syntactic co-occurrence and semantic alignment simultaneously.
• Demonstrated effectiveness of the new attention mechanism in improving the learning of syntactic and semantic features.