DBMAT: Research on Chinese Named Entity Recognition Using the Dilated Bidirectional Multi-layer Attentive Transformer Fusion Model.
Tingjie YuLiefa LiaoYiguo YangWeihuan XiaZhenyuan ZouPublished in: ICAICE (2023)
Keyphrases
- multi layer
- named entities
- fusion model
- information fusion
- information extraction
- named entity recognition
- co occurrence
- relation extraction
- text mining
- estimation algorithm
- natural language processing
- fusion framework
- image registration
- fuzzy logic
- neural nets
- neural network
- multi source
- question answering
- annotated corpus
- fuzzy membership functions
- unsupervised learning
- weakly supervised
- modeling method
- data fusion
- soft computing
- computational intelligence
- higher order
- receiver operating characteristic
- decision making
- fuzzy sets
- image retrieval
- pattern recognition
- computer vision
- information retrieval