Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study.
Aditya SiddhantZachary C. LiptonPublished in: EMNLP (2018)
Keyphrases
- empirical studies
- active learning
- natural language processing
- experimental design
- machine learning
- empirical analysis
- real world data sets
- crowd sourced
- computational linguistics
- real world
- natural language
- real life
- text mining
- belief nets
- learning strategies
- selective sampling
- information extraction
- knowledge representation
- maximum likelihood
- computational biology
- small scale
- posterior probability
- music emotion classification
- semantic analysis
- posterior distribution
- artificial intelligence
- labeled data
- wordnet
- semi supervised
- machine translation
- relevance feedback
- markov random field
- data sets
- e learning
- systematic review
- feature engineering
- bayesian learning
- supervised learning
- text summarization
- training examples
- conditional random fields
- random sampling
- named entities
- free text