Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition.
Haw-Shiuan ChangShankar VembuSunil MohanRheeya UppaalAndrew McCallumPublished in: CoRR (2019)
Keyphrases
- practical issues
- named entity recognition
- active learning
- semi supervised
- information extraction
- named entities
- natural language processing
- conditional random fields
- annotated corpus
- text summarization
- hand coded
- supervised learning
- machine learning
- labeled data
- sequence labeling
- relation extraction
- maximum entropy
- unsupervised learning
- pairwise
- classifier ensemble
- chinese named entity recognition
- generative model
- training set
- learning algorithm
- higher order
- relevance feedback
- learning process
- object recognition
- training data
- decision trees
- e learning
- proper names
- maximum entropy classifier
- databases