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The phenotyping task of the NTCIR-12 MedNLPDoc Task [1] is a multi-labeling task retrieved from Japanese medical records. The team-Nikon participated in this task and proposed a new method that assigns the ICD codes by using Information Retrieval (IR) and reduces the magnitude of mistaken coding by using machine learning. When evaluated on development set, our system achieved F-scores of 29.2% ...
Our team, HCU, participated in the Phenotyping Task. We tackled the task by using machine learning techniques and edit distance by DP matching. This paper outlines the methods we used to obtain the result evaluated by the task organizer.
Technology is the tool that is being used in the various sectors of life and medical is one of them. Electronic medical records (EMR) are now widely used instead of physical documents. This paper aims to achieve continuing challenges of MedNLP task series in NTCIR-10 and 11. In these tasks, it already attempted named entity recognition (NER) and evaluated the term normalization technology from ...
The BSS, which has been used in all City's TREC experiments, is a set-oriented ranked output system designed primarily for probabilistic{type retrieval of textual material using inverted indexes. There is a family of built-in weighting functions as described in [1, Section 3]. In addition to weighting and ranking facilities it has the usual boolean and quasi-boolean (positional) operations. The...
It has been proposed that the development of lung fibrosis is associated with a T helper type 2 response, mainly characterized by IL-4 and IL-13 production. We investigated the potential role of type 2 immune polarization in the silicotic process and examined the pulmonary response to silica particles in mice genetically deficient for IL-4. We found that IL-4(-/-) mice were not protected agains...
M. Azuma, T. Odaka, M. Takano, D. A. Vander Griend, K. R. Poeppelmeier, Y. Narumi, K. Kindo, Y. Mizuno, and S. Maekawa Institute for Chemical Research, Kyoto University, Uji, Kyoto-fu 611-0011, Japan CREST, Japan Science and Technology Corporation (JST), Kawaguchi, Saitama 332-0012, Japan Department of Chemistry, Department of Material Science and Engineering, and Science and Technology Center ...
Abstract This study explores the use of verbal irony in three case studies across Septuagint Prophets: Amos 4:4–5, Isa 47:12–13, and Ezek 28:3–5. In MT, all these passages make to express criticism. The prophets’ critiques remain LXX versions, but do not contain some cases. paper aims discern how each translator has approached rendering Hebrew parent text by describing observable results transl...
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