Naver Corporation

About: Naver Corporation is a company organization based out in Seongnam-si, South Korea. It is known for research contribution in the topics: Terminal (electronics) & Computer science. The organization has 4038 authors who have published 4294 publications receiving 35045 citations. The organization is also known as: NAVER Corporation & NAVER.

Utilization value of medical Big Data created in operation of medical information system

Abstract: The purpose of this study is to provide ways to utilize and create valuable medical information utilizing Medical Big Data created by field in hospital information system. The results of this study first creates new medical information of Medical Information system through medical big data analysis and integration of created data of PACS linked with many kinds of testing equipment and medical image equipment along with medical treatment information. Medical information created in this way produces various health information for treatment and prevention of disease and infectious disease. Second, it creates profit statistics information in various ways by analyzing medical big data accumulated through integration of billings and receipt, admission breakdown of patients. Profit statistics information created in this way produces various administration information to be utilized in profit anaysis and operation of medical institution. Likewise, data integration of personal health history, medical information of public institutions, medical information created in hospital information system produces valuable medical health information utilizing medical data.

System and method for providing game on network

Abstract: A system and a method for providing and distributing a game widely on a network are disclosed. The method includes: creating and storing game platform data which load a game to be distributed; providing a copy function that allows source address information of a game platform, corresponding to the game to be distributed, to be copied; downloading the game platform data in response to a request for the game platform from a client using the source address information of the game platform; and downloading the game to be distributed and additional information in response to an activation of the downloaded game platform data, wherein the game platform provides the copy function that allows the source address information of the game platform to be copied in response to a request from the client.

Method and system for offering banner advertising with index function, and computer readable media for recording the advertising method program

Abstract: Disclosed is a method for offering banner advertisement with a search function. The method for offering banner advertisement with the search function includes loading a search input window with a search function, and exposing the loaded search input window to a banner advertising window including banner advertisement.

KLUE: Korean Language Understanding Evaluation.

Abstract: We introduce Korean Language Understanding Evaluation (KLUE) benchmark. KLUE is a collection of 8 Korean natural language understanding (NLU) tasks, including Topic Classification, SemanticTextual Similarity, Natural Language Inference, Named Entity Recognition, Relation Extraction, Dependency Parsing, Machine Reading Comprehension, and Dialogue State Tracking. We build all of the tasks from scratch from diverse source corpora while respecting copyrights, to ensure accessibility for anyone without any restrictions. With ethical considerations in mind, we carefully design annotation protocols. Along with the benchmark tasks and data, we provide suitable evaluation metrics and fine-tuning recipes for pretrained language models for each task. We furthermore release the pretrained language models (PLM), KLUE-BERT and KLUE-RoBERTa, to help reproducing baseline models on KLUE and thereby facilitate future research. We make a few interesting observations from the preliminary experiments using the proposed KLUE benchmark suite, already demonstrating the usefulness of this new benchmark suite. First, we find KLUE-RoBERTa-large outperforms other baselines, including multilingual PLMs and existing open-source Korean PLMs. Second, we see minimal degradation in performance even when we replace personally identifiable information from the pretraining corpus, suggesting that privacy and NLU capability are not at odds with each other. Lastly, we find that using BPE tokenization in combination with morpheme-level pre-tokenization is effective in tasks involving morpheme-level tagging, detection and generation. In addition to accelerating Korean NLP research, our comprehensive documentation on creating KLUE will facilitate creating similar resources for other languages in the future. KLUE is available at this https URL.

A Study of Factors Affecting the Intention of Usage in MOOC

Abstract: Massive Open Online Course(MOOC) is recently being spread worldwide around the U.S.A, and contrary to existing online lectures, it is a type of lecture allowing the communication between the instructor and each student. With the expansion of MOCC system use, this study aimed to investigate what factors make the people needing to be educated use a MOOC. For this aim, this study set a research model which on the basis of TAM(Technology Acceptance Mechanism) and empirically analyzed the model and identified the relationships among influential factors.