• Annual Conference on Human and Language Technology
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• 1996.10a
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• pp.393-399
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• 1996

자연언어 대화에서 사용자의 정확한 의도(Intention)를 인지함에 있어서 나타나는 문제는, 자연언어 대화체의 생략성이 강한 문장의 불완전성 외에도, 여러 연속되는 대화체 문장에 분산되어 나타나는 사용자의 의도를 정확히 파악하는 것이다. 이러한 불완전한 대화체 문장 속에 산재되어 있는 사용자의 의도를 빠르고 신뢰성 있게 인지하여, 사용자와 시스템간의 원활한 자연언어 대화 상호작용 (Interaction)을 가능하게 하기 위하여 플랜 인지 시스템의 이용은 매우 효과적으로 보인다. 현재까지 개발된 대부분의 플랜 인지시스템들은 사용자의 액션 분석 및 플랜의 인지를 통하여 HCI를 지원하는 측면에 (예: 지능형 도움말) 집중되어 있다. 본 논문은 지역 광고 신문에 실린 매입-매도광고 데이타베이스의 검색을 위한 Natural language dialogue user interface에서 사용자 의도를 인지할 수 있는 플랜 인지 시스템을 기술하고 있다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.5
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• pp.1317-1329
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• 2000

The advanced techniques for video processing and computer graphics enables a sign language education system to appear. the system is capable of showing a sign language motion for an arbitrary sentence using the captured video clips of sign language words. In this paper, a method is suggested which generates the frames between the last frame of a word and the first frame of its following word in order to animate hand motion. In our method, we find hand locations and angles which are required for in between frame generation, capture and store the hand images at those locations and angles. The inbetween frames generation is simply a task of finding a sequence of hand angles and locations. Our method is computationally simple and requires a relatively small amount of disk space. However, our experiments show that inbetween frames for the presentation at about 15fps (frame per second) are achieved so tat the smooth animation of hand motion is possible. Our method improves on previous works in which computation cost is relativey high or unnecessary images are generated.

• Journal of Information Management
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• v.24 no.3
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• pp.1-30
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• 1993

Providing users who intend to retrieve document information in korean natural language with direct access to retrieval systems, a korean question processing system was developed in which korean natural language was translated into boolean search statements, which are the most frequently used in current information retrieval systems.

• Journal of Korea Multimedia Society
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• v.7 no.6
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• pp.851-857
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• 2004

Server-side scripting languages for web applications have a different environment from general programming languages. The reason is that some data in web applications should be transferred to a distinct file of a page or should be maintained for a physical time, that is for session time. SO JSP has four kinds of new scopes such as page, request, session, application. And every identifiers in JSP are classified and processed as one of the four scopes. This seems unavoidable to a scripting language because of the web environment. So when a JSP page using these new scope concepts is interpreted the procedure would be different from that of the general programming language's scopes. This thesis has studied the processing of the scopes which are considered in interpreting a script language code. This processing method of the scopes in this article can be applied not only to JSP interpreting but also to a data processing of similar ranges in web.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.361-366
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• 2022

There are several ways to process large amounts of data. Depending on the processing method, there is a big difference in processing speed to create a large data list. Typically, to make a large data list, large data is converted into a normalized query, and the result of the query is stored in a List Map and converted into a printable form. This process occurs as a cause of lowering the processing speed step by step. In the process of storing the results of the created query as a List Map, the processing speed differs because the data is stored in a different format for each type of data. Through the simultaneous processing of GO language, we want to solve the problem of the existing difference in processing speed. In other words, it compares the results of GO language concurrency processing by providing how different and how it proceeds between the format contained in the existing List Map and the method of processing using concurrency in large data lists for faster processing. do.

• Proceedings of the Korean Society for Language and Information Conference
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• 1998.02a
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• pp.283-294
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• 1998

• Proceedings of the Korean Society for Language and Information Conference
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• 2005.06a
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• pp.1-16
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• 2005

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1151-1154
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• 2012

Visual Language란 텍스트로 이루어진 문장이나 스프레드시트와 같은 도표형식의 정보전달과는 달리 전달하고자하는 사항을 가시화하여 그래프나 이미지 등으로 한 눈에 알아볼 수 있도록 하는 시각언어를 말한다. 본 논문에서는 전달방법에 따른 의사소통의 효과를 측정하는 연구모형을 제시하여 Visual Language와 Non-Visual Language를 통한 의사소통의 차이점을 비교 분석하였다. 연구결과 Visual Language를 통한 의사소통은 Non-Visual Language를 사용하는 것 보다 신속성 과 정확성 면에서 의사전달에 효과적이라는 사실을 알아낼 수 있었으며 Visual Language를 통한 의사소통은 프로젝트에 긍정적인 영향을 미친다는 사실을 밝혀내었다. 본 연구의 성과로는 프로젝트 관리 시 발생하는 각종 상황을 이해관계자에게 전달하는 수단으로 가시화된 언어를 사용하여 전달하고자 하는 바를 빠르고 정확하게 숙지시켜 원활한 소통을 지양하고 이로 인하여 프로젝트 성공률을 높이는 방안에 기여하는데 있다.

• Korean Journal of Cognitive Science
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• v.10 no.2
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• pp.35-43
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• 1999

This paper aims to research the language changes in modern Korean and its effect to the language processing systems. In modern Korean. the syntactic constructions l like [Adnominal Ending + Bound Noun ( + Postposition)] are changing into the morphological constructions, and some of these constructions are reflected in the written language. For example. the syntactic construction [Ad nominal Ending + '-de (Bound N Noun)' (+ Postposition) ) co-exists with the mixed form '-neunde' and [Adnominal Ending + 'geot' (Bound Noun) + '-j' (Postposition)) does with ' neunge'. These constructions are used frequently in the spoken language. As like other verbal endings, these forms also participate in the construction of the complex sentence, and these forms have its own case function fused into themselves So, the analytic approach to these forms can make great effect on the automatic morphological analysis systems. automatic tagging systems. and the syntactic analysis systems. So. in the design phase of a language processing systems, the language change phenomena like these must be taken l into consideration.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.15-23
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• 2022

In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.