A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction.
Saadullah AminKatherine Ann DunfieldAnna VechkaevaGünter NeumannPublished in: CoRR (2020)
Keyphrases
- noise reduction
- relation extraction
- information extraction
- entity extraction
- weakly supervised
- manually annotated
- automatic extraction
- named entities
- signal to noise ratio
- named entity recognition
- domain specific
- noisy environments
- question answering
- edge detection
- semantic role labeling
- semi supervised
- text mining
- semantic relations
- natural language processing
- semantic features
- information retrieval
- machine learning
- supervised learning
- broad coverage
- annotated corpus
- dependency trees
- unsupervised learning
- tree kernels
- learning algorithm
- relevance feedback
- natural language
- video sequences