Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.
Roselyne B. TchouaAswathy AjithZhi HongLogan T. WardKyle ChardAlexander BelikovDebra J. AudusShrayesh PatelJuan J. de PabloIan T. FosterPublished in: ICCS (1) (2019)
Keyphrases
- named entity recognition
- training data
- information extraction
- named entities
- natural language processing
- conditional random fields
- semi supervised
- text summarization
- maximum entropy
- relation extraction
- hand coded
- data sets
- annotated corpus
- supervised learning
- sequence labeling
- decision trees
- learning algorithm
- test data
- training set
- classifier ensemble
- prior knowledge
- artificial intelligence
- chinese named entity recognition
- labeled data
- machine learning
- text mining
- classification accuracy
- data mining
- class labels
- question answering
- unsupervised learning
- probabilistic model
- proper names
- named entity disambiguation