Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition-Reference-Cited by-同舟云学术

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Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition

Published:2020-10 Issue: Volume:110 Page:103542
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Yuan Zheng,Liu Yuanhao,Yin Qiuyang,Li Boyao,Feng Xiaobin,Zhang Guoming,Yu Sheng^ORCID

Funder

Natural Science Foundation of Beijing Municipality

National Key Research and Development Program of China

National Natural Science Foundation of China

Tsinghua University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Toward high-throughput phenotyping: Unbiased automated feature extraction and selection from knowledge sources;Yu;J. Am. Med. Informatics Assoc.,2015

2. Surrogate-assisted feature extraction for high-throughput phenotyping;Yu;J. Am. Med. Informatics Assoc.,2017

3. Enabling phenotypic big data with PheNorm;Yu;J. Am. Med. Informatics Assoc.,2018

4. Using electronic health records to drive discovery in disease genomics;Kohane;Nat. Rev. Genet.,2011

5. High-throughput multimodal automated phenotyping (MAP) with application to PheWAS;Liao;J. Am. Med. Informatics Assoc.,2019

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