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Found 5 papers, 0 papers with code
Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure
To address the issue of poor generalization ability in end-to-end speech recognition models within deep learning, this study proposes a new Conformer-based speech recognition model called "Conformer-R" that incorporates the R-drop structure.
Research on Named Entity Recognition in Improved transformer with R-Drop structure
To enhance the generalization ability of the model and improve the effectiveness of the transformer for named entity recognition tasks, the XLNet-Transformer-R model is proposed in this paper.
Knowledge Graph Completion Method Combined With Adaptive Enhanced Semantic Information
Translation models tend to ignore the rich semantic information in triads in the process of knowledge graph complementation.
FGSI: Distant Supervision for Relation Extraction method based on Fine-Grained Semantic Information
We propose the hypothesis that the key semantic information inside the sentence plays a key role in entity relationship extraction.
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism
Knowledge tracing aims to model students' past answer sequences to track the change in their knowledge acquisition during exercise activities and to predict their future learning performance.
