Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers.
Arjun MaggeMatthew ScotchGraciela Gonzalez-HernandezPublished in: Medication and Adverse Drug Event Detection (2018)
Keyphrases
- random forest
- relation extraction
- named entity recognition
- feature set
- decision trees
- named entities
- information extraction
- ensemble classifier
- named entity recognizer
- semantic features
- tree kernels
- annotated corpus
- natural language processing
- automatic extraction
- question answering
- training data
- maximum entropy
- conditional random fields
- naive bayes
- domain specific
- semi supervised
- semantic relations
- feature selection
- ensemble methods
- multi label
- machine learning algorithms
- classification accuracy
- support vector
- machine learning
- svm classifier
- co occurrence
- class labels
- higher order
- training set
- image processing
- training examples
- text mining
- pairwise
- feature space