• Journal of Information Processing Systems
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• 제7권4호
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• pp.595-612
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• 2011

Most organizations use performance appraisal system to evaluate the effectiveness and efficiency of their employees. In evaluating staff performance, performance appraisal usually involves awarding numerical values or linguistic labels to employees performance. These values and labels are used to represent each staff achievement by reasoning incorporated in the arithmetical or statistical methods. However, the staff performance appraisal may involve judgments which are based on imprecise data especially when a person (the superior) tries to interpret another person's (his/her subordinate) performance. Thus, the scores awarded by the appraiser are only approximations. From fuzzy logic perspective, the performance of the appraisee involves the measurement of his/her ability, competence and skills, which are actually fuzzy concepts that can be captured in fuzzy terms. Accordingly, fuzzy approach can be used to handle these imprecision and uncertainty information. Therefore, the performance appraisal system can be examined using Fuzzy Logic Approach, which is carried out in the study. The study utilized a Cascaded fuzzy inference system to generate the performance qualities of some University non-teaching staff that are based on specific performance appraisal criteria.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.1041-1044
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• 2019

자동통번역의 성능을 평가하는데 가장 잘 알려진 자동평가 기술은 BLEU이다. 그러나 BLEU로는 자동통번역 결과의 어느 부분이 강점이고 약점인지를 파악할 수 없다. 본 논문에서는 자동통번역 시스템의 언어 현상별 자동평가 방법을 소개하고자 한다. 언어 현상별 자동평가 방법은 BLEU가 제시하지 못하는 언어 현상별 자동평가가 가능하며 개발자로 하여금 해당 자동통번역 시스템의 언어 현상별 강점과 약점을 직관적으로 파악할 수 있도록 한다. 언어 현상별 정확도 측정은 Google 과 Naver Papago 를 대상으로 실시하였다. 정확률이 40%이하를 약점이라고 간주할 때, Google 영한 자동번역기의 약점은 스타일(32.50%)번역이었으며, Google 영한 자동통역기의 약점은 음성(30.00%)인식, 담화(30.00%)처리였다. Google 한영 자동번역기 약점은 구문(34.00%)분석, 모호성(27.50%)해소, 스타일(20.00%)번역이었으며, Google 한영 자동통역기 약점은 담화(30.00%)처리였다. Papago 영한 자동번역기는 대부분 정확률이 55% 이상이었으며 Papago 영한 자동통역기의 약점은 담화(30.00%)처리였다. 또한 Papago 한영 자동번역기의 약점은 구문(38.00%)분석, 모호성(32.50%)해소, 스타일(20.00%)번역이었으며, Google 한영 자동통역기 약점은 담화(20.00%)처리였다. 언어 현상별 자동평가의 궁극적인 목표는 자동통번역기의 다양한 약점을 찾아내어 약점과 관련된 targeted corpus 를 반자동 수집 및 구축하고 재학습을 하여 자동통번역기의 성능을 점증적으로 향상시키는 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1409-1425
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• 2021

In wide-ranging information society, fast and easy access to information in language of one's choice is indispensable, which may be provided by using various multilingual Natural Language Processing (NLP) applications. Natural language text contains references among different language elements, called anaphoric links. Resolving anaphoric links is a key problem in NLP. Anaphora resolution is an essential part of NLP applications. Anaphoric links need to be properly interpreted for clear understanding of natural languages. For this purpose, a mechanism is desirable for the identification and resolution of these naturally occurring anaphoric links. In this paper, a framework based on Hobbs syntactic approach and a system developed by Lappin & Leass is proposed for resolution of reflexive anaphoric links, present in Urdu text documents. Generally, anaphora resolution process takes three main steps: identification of the anaphor, location of the candidate antecedent(s) and selection of the appropriate antecedent. The proposed framework is based on exploring the syntactic structure of reflexive anaphors to find out various features for constructing heuristic rules to develop an algorithm for resolving these anaphoric references. System takes Urdu text containing reflexive anaphors as input, and outputs Urdu text with resolved reflexive anaphoric links. Despite having scarcity of Urdu resources, our results are encouraging. The proposed framework can be utilized in multilingual NLP (m-NLP) applications.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 춘계학술발표대회
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• pp.389-392
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• 2021

문장 압축은 원본 문장의 중요한 의미를 보존하는 짧은 길이의 압축 문장을 생성하는 자연어처리 태스크이다. 문장 압축은 사용자가 텍스트로부터 필요한 정보를 빠르게 획득할 수 있도록 도울 수 있어 활발히 연구되고 있지만, 기존 연구들은 사람이 직접 정의한 압축 규칙이 필요하거나, 모델 학습을 위해 대량의 데이터셋이 필요하다는 문제점이 존재한다. 사전 학습된 언어 모델을 통한 perplexity 기반의 문장 점수 측정을 통해 문장을 압축하여 압축 규칙과 모델 학습을 위한 데이터셋이 필요하지 않은 연구 또한 존재하지만, 문장 점수 측정에 문장에 속한 단어들의 의미적 중요도를 반영하지 못하여 중요한 단어가 삭제되는 문제점이 존재한다. 본 논문은 언어 정보 중 품사 정보, 의존관계 정보, 개체명 정보의 중요도를 수치화하여 perplexity 기반의 문장 점수 측정에 반영하는 방법을 제안한다. 또한 제안한 문장 점수 측정 방법을 활용하였을 때 문장 점수 측정 기반 문장 압축 모델의 문장 압축 성능이 향상됨을 확인하였으며, 이를 통해 문장에 속한 단어의 언어 정보를 문장 점수 측정에 반영하는 것이 의미적으로 적절한 압축 문장을 생성하는 데 도움이 될 수 있음을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2718-2731
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• 2023

This paper presents a method of using syntax and shallow semantic analysis for Vietnamese question generation (QG). Specifically, our proposed technique concentrates on investigating both the syntactic and shallow semantic structure of each sentence. The main goal of our method is to generate questions from a single sentence. These generated questions are known as factoid questions which require short, fact-based answers. In general, syntax-based analysis is one of the most popular approaches within the QG field, but it requires linguistic expert knowledge as well as a deep understanding of syntax rules in the Vietnamese language. It is thus considered a high-cost and inefficient solution due to the requirement of significant human effort to achieve qualified syntax rules. To deal with this problem, we collected the syntax rules in Vietnamese from a Vietnamese language textbook. Moreover, we also used different natural language processing (NLP) techniques to analyze Vietnamese shallow syntax and semantics for the QG task. These techniques include: sentence segmentation, word segmentation, part of speech, chunking, dependency parsing, and named entity recognition. We used human evaluation to assess the credibility of our model, which means we manually generated questions from the corpus, and then compared them with the generated questions. The empirical evidence demonstrates that our proposed technique has significant performance, in which the generated questions are very similar to those which are created by humans.

• 한국지능시스템학회논문지
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• 제12권6호
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• pp.549-553
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• 2002

본 논문은 전문학술 인력을 자동으로 순위를 매겨 선정하는 지식기반 퍼지 다중 규칙을 제시하고 있다 이를 위하여 학술전문가 선정에 대한 추론규칙을 만들고 다중퍼지 규칙에 대한 최대-최소 추론 및 선정기준에 따라 동적으로 선정기준이 적용되는 방안을 제시하며 이를 위한 시뮬레이션 모델을 구현하고 있다. 본 제안은 학술전문가 선정의 자동화, 공정성, 신뢰성 등을 제공하여 준다.

• 한국언어정보학회지:언어와정보
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• 제17권2호
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• pp.67-91
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• 2013

This paper describes Korean Nominal Bank, a project that provides argument structure for instances of the predicative nouns in the Sejong parsed Corpus. We use the language resources of the Sejong project, so that the same set of data is annotated with more and more levels of annotation, since a new type of a language resource building project could bring new information of separate and isolated processing. We have based on the annotation scheme based on the Sejong electronic dictionary, semantically tagged corpus, and syntactically analyzed corpus. Our work also involves the deep linguistic knowledge of syntaxsemantic interface in general. We consider the semantic theories including the Frame Semantics of Fillmore (1976), argument structure of Grimshaw (1990) and argument alternation of Levin (1993), and Levin and Rappaport Hovav (2005). Various syntactic theories should be needed in explaining various sentence types, including empty categories, raising, left (or right dislocation). We also need an explanation on the idiosyncratic lexical feature, such as collocation and etc.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.28-35
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• 2002

Automatic identification of Chinese personal names in unrestricted texts is a key task in Chinese word segmentation, and can affect other NLP tasks such as word segmentation and information retrieval, if it is not properly addressed. This paper (1) demonstrates the problems of Chinese personal name identification in some If applications, (2) analyzes the structure of Chinese personal names, and (3) further presents the relevant processing strategies. The geographical differences of Chinese personal names between Beijing and Hong Kong are highlighted at the end. It shows that variation in names across different Chinese communities constitutes a critical factor in designing Chinese personal name Identification algorithm.

• 한국실내디자인학회논문집
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• 제34호
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• pp.53-60
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• 2002

It was investigated on the logical inter-relationship with plastic thinking systems in interior space constitution. Followings were produced the conclusion of study from the plastic thinking. First of all plastic thinking could be interpreted as the stage-oriented process from various approaching by intuitional, experimental techniques through the expansion of thinking capability with linguistic activities. And also interior space constitution could be extracted from the plastic language relating with design concept, could be extracted the design element by processing on the formation process based on material's physical properties. Next, space perception and constitution should be followed the massive perception between empty and full space based on the interrelationship. Additionally the constitution of interior space could be established through axis, integrated with detail functions. Interior space constitution could be accomplished on the study of material based on the characteristics of material, planned to coincide with the space's characteristics in selection for texture.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2017년도 추계학술대회
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• pp.32-33
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• 2017

As the era of e-navigation begins, the significance of harmonized collection, exchange, and integration of marine information conventional "ship-to-ship" and "ship-to-shore"/"shore-to-ship" has become more significant in ensuring safety and security at sea. This research aims to provide an internationally applicable list of Standard e-Navigation Phrases (SENP ) for communication in the e-Navigation environment, along with practical approaches to this. For this purpose, the importance of standardized communication phrases specific to e-Navigation will first be illustrated. In order to approach the e-Navigation phrases in a practical and pragmatic manner, means of compiling and processing authentic VHF linguistic data accumulated from one of the Korean ports, Ulsan, will be detailed. In addition, major outcomes to be considered in designing SENP will be suggested. Finally, future actions and a joint effort for the standardization of e-Navigation phrases among stakeholders will be sought.