Semi-Supervised Information Extraction for Cancer Pathology Reports.
John X. QiuShang GaoMohammed M. AlawadNoah SchaefferkoetterFolami AlamudunHong-Jun YoonXiao-Cheng WuGeorgia D. TourassiPublished in: BHI (2019)
Keyphrases
- semi supervised
- information extraction
- named entity recognition
- semi supervised learning
- natural language processing
- multi view
- precision and recall
- labeled data
- question answering
- information retrieval
- named entities
- supervised learning
- text mining
- unsupervised learning
- semi structured
- free text
- active learning
- textual data
- structured data
- conditional random fields
- pairwise
- early detection
- breast cancer
- text documents
- lung cancer
- ontology based information extraction
- machine learning
- data extraction
- open domain
- cancer diagnosis
- constrained clustering
- semi supervised classification
- machine translation
- prostate cancer
- unlabeled data
- web documents
- learning process
- decision trees
- subspace learning
- label propagation
- gene expression profiles
- labeled examples
- cell lines
- extracting meaningful
- data sets