Recognizing Nested Named Entity in Biomedical Texts: A Neural Network Model with Multi-Task Learning.
Hao FeiYafeng RenDonghong JiPublished in: BIBM (2019)
Keyphrases
- named entities
- multi task learning
- genia corpus
- multi task
- information extraction
- text mining
- named entity recognition
- text documents
- co occurrence
- learning tasks
- multiple tasks
- gaussian processes
- natural language processing
- learning problems
- relation extraction
- transfer learning
- question answering
- high order
- learning algorithm
- theoretical analysis
- unsupervised learning
- inductive learning
- annotated corpus
- machine learning
- semi supervised
- natural language
- data mining
- learning models
- kernel methods
- text classification
- multi class
- probabilistic model