A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion.
Thanassis MavropoulosDimitris LiparasSpyridon SymeonidisStefanos VrochidisIoannis KompatsiarisPublished in: CICLing (1) (2017)
Keyphrases
- random forest
- relation extraction
- finite state automata
- information extraction
- automatic extraction
- decision trees
- named entities
- semantic features
- domain specific
- feature set
- semantic relations
- finite state machines
- question answering
- named entity recognition
- multi label
- text mining
- ensemble methods
- parse tree
- information retrieval
- natural language
- machine learning
- semantic information
- natural language processing
- training data
- wordnet
- text classification
- pairwise
- image segmentation