Stopping Criteria for Active Learning of Named Entity Recognition.
Florian LawsHinrich SchützePublished in: COLING (2008)
Keyphrases
- named entity recognition
- stopping criteria
- active learning
- semi supervised
- information extraction
- named entities
- natural language processing
- text summarization
- conditional random fields
- maximum entropy
- labeled data
- machine learning
- annotated corpus
- supervised learning
- clustering algorithm
- training set
- learning algorithm
- stopping criterion
- sequence labeling
- pairwise
- unsupervised learning
- relevance feedback
- relation extraction
- proper names
- chinese named entity recognition
- probabilistic model
- information retrieval