THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions.
Seongwoong OhWoohwan JungKyuseok ShimPublished in: ECAI (2023)
Keyphrases
- named entities
- student model
- student interaction
- named entity recognition
- intelligent tutoring systems
- information extraction
- learning styles
- student modeling
- tutoring system
- co occurrence
- text mining
- named entity extraction
- student modelling
- question answering
- relation extraction
- natural language processing
- concept maps
- feature selection
- annotated corpus
- noun phrases
- artificial intelligence
- learning process
- unsupervised learning
- general purpose
- machine learning
- data mining
- decision trees
- training data
- training set
- databases