Unlabeled Documents
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Heterogeneous Graph Attention Networks for Semi …
aclanthology.orgbel the unlabeled documents in an iterative way. Recently, graph convolutional networks (GCN) have received wide attention for semi-supervised classification (Kipf and Welling, 2017). TextGCN (Yao et al., 2019) models the whole text corpus as …
Named Entity Recognition with Small Strongly Labeled and ...
aclanthology.orgon large in-domain unlabeled data. When there is no labeled data, one approach is to use weak supervision to generate labels automat-ically from domain knowledge bases (Shang et al., 2018;Liang et al.,2020). For example,Shang et al.(2018) match spans of unlabeled Biomedical documents to a Biomedical dictionary to generate
Distant supervision for relation extraction without ...
web.stanford.edudocuments in which pairs of entities have been la-beled with 5 to 7 major relation types and 23 to 24 subrelations, totaling 16,771 relation instances. ... can use large amounts of unlabeled data, a pair of entities may occur multiple times in the test set. …
Illumina Sequencing Technology
www.illumina.comAdd unlabeled nucleotides and enzyme to initiate solid-phase bridge amplification. Attached terminus Attached terminus Free terminus. Technology Spotlight: Illumina ...
National Patient Safety Goals Effective July 2020 for the ...
www.jointcommission.orgunlabeled containers. This unsafe practice neglects basic principles of safe medication management, yet it is routine in many organizations. The labeling of all medications, medication containers, and other solutions is a risk-reduction activity consistent with safe medication management. This practice addresses a recognized risk point in the
PROFICIENCY TESTING MANUAL
documents.cap.orgProficiency Testing Manual College of American Pathologists 5 General Customer Information PT Referral Information Per CLIA, as published by the United States Federal Register, PT specimens must be tested with the laboratory’s regular …