يعرض 1 - 10 نتائج من 40 نتيجة بحث عن '"Hyopil Shin"', وقت الاستعلام: 1.05s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning

    المؤلفون: Eunjoo Jeon, Youngsam Kim, Hojun Park, Rae Woong Park, Hyopil Shin, Hyeoun-Ae Park

    المصدر: Healthcare Informatics Research, Vol 26, Iss 2, Pp 104-111 (2020)

    مصطلحات موضوعية: drug-related side effects and adverse reactions, electronic health records, machine learning, deep learning, nursing records, Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: http://e-hir.org/upload/pdf/hir-26-2-104.pdf; https://doaj.org/toc/2093-3681; https://doaj.org/toc/2093-369X

    URL الوصول: https://doaj.org/article/7fee2be751ef480182f7b31b0888be6c

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  2. 2
    مؤتمر
    KaBAL (Knowledge Base Access Language): a language for querying and editing XML documents, applied to linguistic knowledge base

    المؤلفون: Hyopil Shin, Koontz, E.

    المصدر: 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236) Systems, man and cybernetics Systems, Man, and Cybernetics, 2001 IEEE International Conference on. 2:966-970 vol.2 2001

    Relation: Proceedings of IEEE International Conference on Systems, Man & Cybernetics

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  3. 3
    Contract Eligibility Verification Enhanced by Keyword and Contextual Embeddings

    المؤلفون: Sangah Lee, Seokgi Kim, Eunjin Kim, Minji Kang, Hyopil Shin

    المصدر: Journal of KIISE. 49:848-858

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::eeca6ade7913961b0ea8c3484b22b00c
    https://doi.org/10.5626/jok.2022.49.10.848

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  4. 4
    Combining Sentiment-Combined Model with Pre-Trained BERT Models for Sentiment Analysis

    المؤلفون: Hyopil Shin, Sangah Lee

    المصدر: Journal of KIISE. 48:815-824

    مصطلحات موضوعية: Computer science, business.industry, Sentiment analysis, Artificial intelligence, computer.software_genre, business, computer, Natural language processing

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::62e2665100a89adca8e7c35007108b2f
    https://doi.org/10.5626/jok.2021.48.7.815

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  5. 5
    Predicting Audience-Rated News Quality: Using Survey, Text Mining, and Neural Network Methods

    المؤلفون: Hyopil Shin, Seung-Shik Kang, Sujin Choi

    المصدر: Digital Journalism. 9:84-105

    مصطلحات موضوعية: Artificial neural network, Computer science, business.industry, Communication, media_common.quotation_subject, 05 social sciences, Information processing, 050801 communication & media studies, computer.software_genre, 0506 political science, 0508 media and communications, Text mining, 050602 political science & public administration, Computational journalism, Quality (business), Artificial intelligence, business, computer, Natural language processing, media_common

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b9c6f5e443703dd160c5a5f72259971
    https://doi.org/10.1080/21670811.2020.1842777

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  6. 6
    A Small-Scale Korean-Specific BERT Language Model

    المؤلفون: Yunmee Baik, Hansol Jang, Hyopil Shin, Sangah Lee, Suzi Park

    المصدر: Journal of KIISE. 47:682-692

    مصطلحات موضوعية: Scale (ratio), business.industry, Computer science, Artificial intelligence, business, computer.software_genre, computer, Natural language processing

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ca286c5c8b158e72ac2317ce857fd83c
    https://doi.org/10.5626/jok.2020.47.7.682

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  7. 7
    Leveraging More Fine-grained Representation to Reduce Instability within Word Embeddings

    المؤلفون: Hyopil Shin, Suzi Park

    المصدر: Language and Information. 23:1-18

    مصطلحات موضوعية: Similarity (geometry), Theoretical computer science, Character (mathematics), Intersection (set theory), Computer science, Cosine similarity, Stability (learning theory), Embedding, General Medicine, Representation (mathematics), Word (computer architecture)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::67d14177ceaf44f7185d456dcbb36441
    https://doi.org/10.29403/li.23.3.1

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  8. 8
    An Analysis of Linear Argumentation Structure of Korean Debate Texts Using Sequential Modeling and Linguistic Features

    المؤلفون: Sangah Lee, Hyopil Shin

    المصدر: Journal of KIISE. 45:1292-1301

    مصطلحات موضوعية: Structure (mathematical logic), Computer science, Argument mining, Linguistics, Argumentation theory, Sequential modeling

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::556e97dd7ef521186e4ad4057e820960
    https://doi.org/10.5626/jok.2018.45.12.1292

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  9. 9
    Measuring Semantic Orientation of Words using Temporal Difference Learning

    المؤلفون: Hyopil Shin, Youngsam Kim

    المصدر: Journal of KIISE. 45:1287-1291

    مصطلحات موضوعية: business.industry, Computer science, Reinforcement learning, Pattern recognition, Artificial intelligence, Orientation (graph theory), Temporal difference learning, business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cf43571d509ffcd951bd74e53a25643a
    https://doi.org/10.5626/jok.2018.45.12.1287

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  10. 10
    The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts

    المؤلفون: Sangah Lee, Hyopil Shin

    المصدر: Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021).

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3b89e38eedff7a0f69cbb539608b3d0e
    https://doi.org/10.18653/v1/2021.wnut-1.45

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