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Found 3 papers, 1 papers with code
Biomedical Information Extraction for Disease Gene Prioritization
We introduce a biomedical information extraction (IE) pipeline that extracts biological relationships from text and demonstrate that its components, such as named entity recognition (NER) and relation extraction (RE), outperform state-of-the-art in BioNLP.
Relation-weighted Link Prediction for Disease Gene Identification
Identification of disease genes, which are a set of genes associated with a disease, plays an important role in understanding and curing diseases.
Training Classifiers with Natural Language Explanations
Training accurate classifiers requires many labels, but each label provides only limited information (one bit for binary classification).
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