ACL RD-TEC 1.0 Summarization of N06-2018
Paper Title:
MMR-BASED ACTIVE MACHINE LEARNING FOR BIO NAMED ENTITY RECOGNITION
MMR-BASED ACTIVE MACHINE LEARNING FOR BIO NAMED ENTITY RECOGNITION
Authors: Seokhwan Kim and Yu Song and Kyungduk Kim and Jeong-Won Cha and Gary Geunbae Lee
Primarily assigned technology terms:
- active learning
- biomedical text mining
- classification
- classification system
- classifier
- classifiers
- combined selection
- conditional random fields
- entity recognition
- entropy-based example selection
- example selection
- learner
- learning
- learning approaches
- learning method
- learning methods
- learning technique
- machine learning
- machine-learning
- medical named-entity recognition
- mining
- named entity recognition
- named-entity recognition
- named-entity recognition system
- random selection
- recognition
- recognition system
- sample selection
- sampling
- scoring
- search
- selection strategy
- supervised machine-learning
- text mining
- viterbi
- viterbi search
Other assigned terms:
- active learning paradigm
- annotation
- approach
- biomedical domain
- biomedical text
- chunk
- corpora
- data set
- distribution
- empirical evaluation
- entropy
- experimental results
- expert knowledge
- f-score
- f-score performance
- finite set
- genia
- genia corpus
- human annotation
- knowledge
- labeling
- learning paradigm
- learning strategy
- manual annotation
- measure
- measures
- medline
- method
- named entity
- named-entity
- part-of-speech
- part-of-speech tag
- probabilities
- probability
- probability distribution
- procedure
- recognition task
- sentence
- sentence structure
- sentences
- similarity score
- structure of a sentence
- tags
- technique
- terms
- test data
- text
- training
- training and test data
- training corpora
- training corpus
- training data
- training data set
- training examples
- training samples
- user
- word
- words
