We propose a novel measure to quantify dismantlement of a fragmented network.
Physics and Society Social and Information Networks
Over the course of 11 months, 11 medical students followed our annotation methodology, resulting in a question answering dataset of 5696 questions over 71 patient records, of which 1747 questions have corresponding answers generated by the medical students.
We seek to address the lack of labeled data (and high cost of annotation) for textual entailment in some domains.
We provide the first extensive evaluation of how using different types of context to learn skip-gram word embeddings affects performance on a wide range of intrinsic and extrinsic NLP tasks.