Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities.
Alexander ErdmannDavid Joseph WrisleyBenjamin AllenChristopher BrownSophie Cohen-BodénèsMicha ElsnerYukun FengBrian JosephBéatrice Joyeux-PrunelMarie-Catherine de MarneffePublished in: NAACL-HLT (1) (2019)
Keyphrases
- named entity recognition
- active learning
- information extraction
- semi supervised
- natural language processing
- named entities
- text summarization
- digital libraries
- maximum entropy
- relation extraction
- conditional random fields
- machine learning
- sequence labeling
- digital resources
- annotated corpus
- social sciences
- text mining
- object recognition
- classifier ensemble
- information retrieval
- hand coded
- databases
- chinese named entity recognition