Fine-Grained Mechanical Chinese Named Entity Recognition Based on ALBERT-AttBiLSTM-CRF and Transfer Learning.
Liguo YaoHaisong HuangKuan-Wei WangShih-Huan ChenQiaoqiao XiongPublished in: Symmetry (2020)
Keyphrases
- fine grained
- transfer learning
- chinese named entity recognition
- conditional random fields
- named entity recognition
- named entities
- coarse grained
- structure learning
- information extraction
- knowledge transfer
- graphical models
- cross domain
- parameter learning
- labeled data
- active learning
- collaborative filtering
- text mining
- access control
- semi supervised learning
- reinforcement learning
- pairwise
- machine learning
- semi supervised
- transfer knowledge
- natural language processing
- text categorization
- domain adaptation
- markov random field
- text classification
- maximum entropy
- generative model
- belief propagation
- multi task
- probabilistic model
- co occurrence
- learning algorithm
- target domain
- higher order
- question answering
- decision trees
- data lineage
- information retrieval