A deep learning NLP model to read the abstract of a medical research paper, and classify whether or not its a conclusion, introduction, experiment..etc
Dataset that was used is: PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts https://github.com/Franck-Dernoncourt/pubmed-rct
Research Paper: https://arxiv.org/pdf/1710.06071.pdf
Architecture of this model:
Results: 'accuracy': 0.8308950086058519, 'f1': 0.8293630189440715, 'precision': 0.8307249525524745, 'recall': 0.830895008605852