• 국내 학술지 테스트 저널
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• 제11권2호
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• pp.221-227
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• 2023

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• 대한음성학회지:말소리
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• 제43호
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• pp.1-9
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• 2002

This study aims to model Korean prosodic phrasing using CART(classification and regression tree) method. Our data are limited to Korean read speech. We used 400 sentences made up of editorials, essays, novels and news scripts. Professional radio actress read 400sentences for about two hours. We used K-ToBI transcription system. For technical reason, original break indices 1,2 are merged into AP. Differ from original K-ToBI, we have three break index Zero, AP and IP. Linguistic information selected for this study is as follows: the number of syllables in ‘Eojeol’, the location of ‘Eojeol’ in sentence and part-of-speech(POS) of adjacent ‘Eojeol’s. We trained CART tree using above information as variables. Average accuracy of predicting NonIP(Zero and AP) and IP was 90.4% in training data and 88.5% in test data. Average prediction accuracy of Zero and AP was 79.7% in training data and 78.7% in test data.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 1999년도 제11회 한글 및 한국어 정보처리 학술대회 및 제1회 형태소 분석기 및 품사태거 평가 워크숍
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• pp.99-105
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• 1999

한국어 정보처리를 위한 언어정보는 응용 분야에 따라 큰 차이를 보인다. 특히 말뭉치를 이용한 연구에서는 언어정보가 달라질 때마다 시스템을 새로 구성해야 하는 어려움이 있다. 본 논문에서는 이와 같은 어려움을 다소 완화시키기 위해 새로운 환경에 잘 적응할 수 있는 한국어 품사 태깅 시스템에 관해서 논한다. 본 논문에서는 이 시스템을 KTAG99라고 칭한다. KTAG99는 크게 실행부와 학습부로 구성되었다. 한국어 품사 태깅을 위한 실행부는 고유명사 추정기, 한국어 형태소 분석기, 통계기반 품사 태거, 품사 태깅 오류교정기로 구성되었으며, 실행부에서 필요한 언어정보를 추출하는 학습부는 고유명사 추정규칙 추출기, 형태소 배열규칙 추출기, 사전 추출기, 확률정보 추정기, 품사 태깅 오류수정 규칙 추정기로 구성되었다. KTAG99에서 필요한 언어정보의 대부분은 학습 말뭉치로부터 추출되거나 추정되기 때문에 아주 짧은 시간 내에 새로운 환경에 적응할 수 있다.

• 한국식생활문화학회지
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• 제14권5호
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• pp.487-495
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• 1999

The objectives of this study were to analyze customer satisfaction by operational characteristics in business & industry foodservice operated by contracted foodservice management company. The instruments were developed by reviewing literatures on customer satisfaction and by intervewing with managers, employers and customers. A total of 1000 questionnaires were hand delivered at the ten contracted foodservice operations by designated coordinators. A total of 833 questionnaires were usable; resulting in an 83.3% response rate. Statistical data analysis was completed using the SAS 6.04 for description, T-test, ANOVA. Overall customer satisfaction score for office building foodservice was significantly higher than those for manufacturing company foodservice. As for the type of management contracts, overall customer satisfaction score for management fee contracts was significantly higher than those for profit and loss contracts. With regard to payment method, overall customer satisfaction score for meal card was higher than those for POS system. Concerning the categories of service, overall customer satisfaction for combo-tray service was higher than those for cafeteria-tray service and partially self-service. As for types of menus, the score of overall customer satisfaction was not significantly different between cafeteria menu and double choice menu.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2010년도 춘계학술논문발표회 논문집
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• pp.207-230
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• 2010

본 연구는 최근 들어서도 자신의 생활고나 사회에 불만을 가진 연쇄방화, 특히 차량방화가 많이 발생하고 있으며, 지하철방화도 빈번히 발생하고 있다. 이렇게 방화가 심각한 사회문제가 되었음에도 불구하고 일반의 관심은 그리 높지 않은 게 현실이다. 방화범죄를 수사하는 수사기관이나 방화화재를 예방 진압하는 소방기관에도 아직 방화범죄를 담당하는 전담기구가 마련되어 있지 못하다. 앞으로도 방화범죄는 계속해서 증가할 것으로 예상된다. 이 연구는 최근 증가하고 있는 방화범죄의 위험성에 관한 인지 및 관심도를 제고하고, 방화범죄의 통제에 효과적인 방안을 강구하는 것이 목적이다.

• 정보처리학회논문지B
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• 제17B권3호
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• pp.249-254
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• 2010

본 논문은 지지벡터기계를 이용하여 스팸메일을 자동으로 분류하는 시스템을 제안한다. 이메일에 포함된 단어의 어휘 정보와 품사 태그 정보를 지지벡터기계의 자질로 사용한다. 우리는 카이제곱 통계량을 이용하여 자질을 선택한 후 각각의 자질을 TF, TF-IDF, 이진 가중치 등으로 표현하여 실험하였다. 카이제곱 통계량을 이용하여 선택된 자질들을 이용하여 SVM을 학습한 후, SVM분류기는 각각의 이메일의 스팸 여부를 결정한다. 실험 결과, 선택되어진 자질들이 성능향상을 가져왔으며, TREC05-p1 스팸 말뭉치에 대해 약 98.9%의 정확도를 얻었다.

• Genomics & Informatics
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• 제19권3호
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• pp.23.1-23.7
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• 2021

Currently, coronavirus disease 2019 (COVID-19) literature has been increasing dramatically, and the increased text amount make it possible to perform large scale text mining and knowledge discovery. Therefore, curation of these texts becomes a crucial issue for Bio-medical Natural Language Processing (BioNLP) community, so as to retrieve the important information about the mechanism of COVID-19. PubAnnotation is an aligned annotation system which provides an efficient platform for biological curators to upload their annotations or merge other external annotations. Inspired by the integration among multiple useful COVID-19 annotations, we merged three annotations resources to LitCovid data set, and constructed a cross-annotated corpus, LitCovid-AGAC. This corpus consists of 12 labels including Mutation, Species, Gene, Disease from PubTator, GO, CHEBI from OGER, Var, MPA, CPA, NegReg, PosReg, Reg from AGAC, upon 50,018 COVID-19 abstracts in LitCovid. Contain sufficient abundant information being possible to unveil the hidden knowledge in the pathological mechanism of COVID-19.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2021년도 추계학술대회
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• pp.76-77
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• 2021

자율운항선박의 발전에 맞춰 선박의 안전관리체계 전환에 대비한 전문 선박관리감독 인력양성이 필요하다. 이에 본 연구에서 현업에 종사하는 선박관리감독을 대상으로 자율운항선박에 도입에 대비하여 선박관리감독에게 요구되는 역량이 무엇인지 조사하고 미래의 역량 개발 방안을 제시하고자 한다.

• 드라이브 ㆍ 컨트롤
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• 제21권2호
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• pp.65-71
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• 2024

In this study, we suggested a key-point detection method for robot harvesting of oriental melon. Our suggested method could be used to detect the detachment part and major composition of oriental melon. We defined four points (harvesting point, calyx, center, bottom) based on tomato with characteristics similar to those of oriental melon. The evaluation of estimated key-points was conducted by pixel error and PDK (percentage of detected key-point) index. Results showed that the average pixel error was 18.26 ± 16.62 for the x coordinate and 17.74 ± 18.07 for the y coordinate. Considering the resolution of raw images, these pixel errors were not expected to have a serious impact. The PDK score was found to be 89.5% PDK@0.5 on average. It was possible to estimate oriental melon specific key-point. As a result of this research, we believe that the proposed method can contribute to the application of harvesting robot system.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.166-176
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• 2002

A homonym could be disambiguated by another words in the context as nouns, predicates used with the homonym. This paper using semantic information (co-occurrence data) obtained from definitions of part of speech (POS) tagged UMRD-S$^1$), In this research, we have analyzed the result of an experiment on a homonym disambiguation system based on statistical model, to which Bayes'theorem is applied, and suggested a model established of the weight of sense rate and the weight of distance to the adjacent words to improve the accuracy. The result of applying the homonym disambiguation system using semantic information to disambiguating homonyms appearing on the dictionary definition sentences showed average accuracy of 98.32% with regard to the most frequent 200 homonyms. We selected 49 (31 substantives and 18 predicates) out of the 200 homonyms that were used in the experiment, and performed an experiment on 50,703 sentences extracted from Sejong Project tagged corpus (i.e. a corpus of morphologically analyzed words) of 3.5 million words that includes one of the 49 homonyms. The result of experimenting by assigning the weight of sense rate(prior probability) and the weight of distance concerning the 5 words at the front/behind the homonym to be disambiguated showed better accuracy than disambiguation systems based on existing statistical models by 2.93%,