• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.655-667
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• 2010

The named entity recognition task is one of the most important subtasks in Information Extraction. In this paper, we describe a Korean named entity recognition using structural Support Vector Machines (structural SVMs) and modified Pegasos algorithm. Using the proposed approach, we could achieve an 85.43% F1 and an 86.79% F1 for 15 named entity types on TV domain and sports domain, respectively. Moreover, we reduced the training time to 4% without loss of performance compared to Conditional Random Fields (CRFs).

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.29-57
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• 2014

This study aims to develop a metadata schema for sports moving records based on a multiple entity model as an attempt to suggest an effective way to manage, retrieve, and utilize sports moving records. The multiple entity model consists of four entities - sports match, match contributors, moving records, and record management business - and metadata elements were developed for each entity. In addition, authority records for sports team and persons were created to ensure the consistency of terminology and provide rich contextual information. The suggested multiple entity model, metadata elements, and authority records for sports teams and persons were verified, modified, and expanded by a group of experts including a sports marketing expert and professors in the sports department.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.482-485
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• 2021

최근 지식 그래프를 확장하기 위해 많은 연구가 진행되고 있다. 지식 그래프를 확장하기 위해서는 relation을 기준으로 entity의 방향성을 고려하는 것이 매우 중요하다. 지식 그래프를 확장하기 위한 대표적인 연구인 관계 추출은 문장과 2개의 entity가 주어졌을 때 relation을 예측한다. 최근 사전학습 언어모델을 적용하여 관계 추출에서 높은 성능을 보이고 있지만, entity에 대한 방향성을 고려하여 relation을 예측하는지 알 수 없다. 본 논문에서는 관계 추출에서 entity의 방향성을 고려하여 relation을 예측하는지 실험하기 위해 문장 수준의 Adversarial Attack과 단어 수준의 Sequence Labeling을 적용하였다. 또한 관계 추출에서 문장에 대한 이해를 높이기 위해 BERT모델을 적용하여 실험을 진행하였다. 실험 결과 관계 추출에서 entity에 대한 방향성을 고려하지 않음을 확인하였다.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1613-1616
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• 2003

We will take a multitude EJB Design Patterns that you can harness to enhance your EJB Project today In this paper, we propose the EJB Based Entity Bean DBMS connecting system. Generally, EJB Based Entity Beans are respectively connected by DBMS. Therefore, for the this problems we suggest that Abstract Factory pattern uses DBMS connecting of Entity Beans. As a result, we evaluate MIF and CF in every class relationship.

• Journal of Korean Neurosurgical Society
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• v.54 no.1
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• pp.65-67
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• 2013

Pneumorrhachis, which involves the entrapment of air or gas within the spinal canal, is a rare clinical entity, and the pathogenesis and etiologies of this uncommon entity are various and can present a diagnostic challenge. Usually, pneumorrhachis represents an asymptomatic epiphenomenon but it can produce symptoms associated with its underlying pathology. Here, we report a rare case of symptomatic epidural pneumorrhachis accompanying pneumothorax. Possible pathogenic mechanisms are discussed and a review of the literature is included.

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.637-649
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• 2001

ㆍ Research Method - Experimental Design ㆍWhen Entity Bean is deployed and Client request to inquire a specific information of Doctor Table, we experiment Total Time for Query Execution according to Time Measurement Operation in Client code. ㆍWe can apply the statistics for the experiment to the design of Entity Beans.(omitted)

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.12
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• pp.10-17
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• 1993

In this paper, CCF(Call Control Function), functional entity for basic call processing in SSP(Service Switching Point), is designed and implemented. This functional entity can provide the IN(Intelligent Network) services which are included in CCITT CS-1(Capability Set-1), near-term process for IN Architecture. UIO(Unique Input Output) method, one of the thest sequence generation methods for the finite state machine, is used for the implementation test of this functional entity.

• Genomics & Informatics
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• v.17 no.2
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• pp.21.1-21.6
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• 2019

Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology. Our hypothesis is that including named entity annotations can improve the speed and quality of dependency parses. As part of BLAH5, we built a web service delivering improved dependency parses by taking into account named entity annotations obtained by third party services. Our evaluation shows improved results and better speed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.572-575
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• 2008

In this paper we designed a Payment Service. This service is based on Parlay X Web Services. In the design process we described a functional entity and the information flow between entities. Also, we described a physical entity and the information flow between entities.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.2
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• pp.111-120
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• 2015

Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.