• Title/Summary/Keyword: answer

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Evaluation of the documents from the Web-based Question and Answer Service (지식 검색 서비스 개선을 위한 문서의 적합도 및 신뢰도 분석)

  • Park So-Yeon;Lee Joon-Ho;Jeon Ji-Woon
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.2
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    • pp.299-314
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    • 2006
  • This study suggests evaluation criteria for the web-based question-answer databases provided by major Korean search portals. In particular, this study suggests evaluation criteria for the relevance of question titles, entire questions, and answer's. The evaluation criteria for the qualify of answers are also developed. Based on these criteria. evaluation of documents from Naver Knowledge-in are performed. The results of this study can be implemented to the development of test collection of question-answer databases. The implications for system designers and web content providers are discussed.

A Extraction of Definitional Answer Sentence for a Definitional Question-Answering System (정의형 질의응답시스템을 위한 정의형 정답 문장 추출)

  • Ko, Byeong Il;Kang, Yu Hwan;Shin, Seung Eun;S, Young Hoon
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.470-475
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    • 2004
  • In this paper, we propose a method to extract a definitional answer sentence for a Definitional Question-Answering System. definitional answer sentence patterns are manually constructed with restriction rules to patterns, and a ranking information of the pattern using its frequency from the corpus. answer sentence pattern consists of the syntactic structure of a definitional answer sentence, and clue words. this system show 83% accuracy for untrained corpus.

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A Fast and Powerful Question-answering System using 2-pass Indexing and Rule-based Query Processing Method (2-패스 색인 기법과 규칙 기반 질의 처리기법을 이용한 고속, 고성능 질의 응답 시스템)

  • 김학수;서정연
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.795-802
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    • 2002
  • We propose a fast and powerful Question-answering (QA) system in Korean, which uses a predictive answer indexer based on 2-pass scoring method. The indexing process is as follows. The predictive answer indexer first extracts all answer candidates in a document. Then, using 2-pass scoring method, it gives scores to the adjacent content words that are closely related with each answer candidate. Next, it stores the weighted content words with each candidate into a database. Using this technique, along with a complementary analysis of questions which is based on lexico-syntactic pattern matching method, the proposed QA system saves response time and enhances the precision.

Attribute-Based Classification Method for Automatic Construction of Answer Set (정답문서집합 자동 구축을 위한 속성 기반 분류 방법)

  • 오효정;장문수;장명길
    • Journal of KIISE:Software and Applications
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    • v.30 no.7_8
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    • pp.764-772
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    • 2003
  • The main thrust of our talk will be based on our experience in developing and applying an attribute-based classification technique in the context of an operational answer set driven retrieval system. To alleviate the difficulty and reduce the cost of manually constructing and maintaining answer sets, i.e., knowledge base, we have devised a new method of automating the answer document selection process by using the notion of attribute-based classification, which is in and of itself novel. We attempt to explain through experiments how helpful the proposed method is for the knowledge base construction process.

A Study on Clustering Query-answer Documents with Structural Features (문서구조를 이용한 질의응답문서 클러스터링에 관한 연구)

  • Choi, Sang-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.4
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    • pp.105-118
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    • 2005
  • As the number of users who ask and give answers in the query-answer documents retrieval system is growing exponentially, the query-answer document become a crucial information resource, as a new type of information retrieval service. A query-answer document Consists of three structural parts : a query, explanation on query, and answers Chosen by users who asked the query. To identify the role of each structural part in representing the topics of documents, the three structural parts were clustered automatically and the results of several clustering tests were compared in this study.

Information Sharing System Based on Ontology in Wireless Internet (무선 인터넷 환경에서의 온톨로지 기반 정보 공유 시스템)

  • 노경신;유영훈;조근식
    • Proceedings of the IEEK Conference
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    • 2003.11b
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    • pp.133-136
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    • 2003
  • Due to recent explosion of information available online, question- answering (Q&A) systems are becoming a compelling framework for finding relevant information in a variety of domains. Question-answering system is one of the best ways to introduce a novice customer to a new domain without making him/her to obtain prior knowledge of its overall structure improving search request with specific answer. However, the current web poses serious problem for finding specific answer for many overlapped meanings for the same questions or duplicate questions also retrieved answer for many overlapped meanings fer the same questions or duplicate questions also retrieved answer is slow due to enhanced network traffic, which leads to wastage of resource. In order to avoid wrong answer which occur due to above-mentioned problem we propose the system using ontology by RDF, RDFS and mobile agent based on JAVA. We also choose wireless internet based embedded device as our test bed for the system and apply the system in E-commerce information domain. The mobile agent provides agent routing with reduced network traffic, consequently helps us to minimize the elapsed time for answers and structured ontology based on our proposed algorithms sorts out the similarity between current and past question by comparing properties of classes.

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Automatic Scoring System for Korean Short Answers by Student Answer Analysis and Answer Template Construction (학생 답안 분석과 정답 템플릿 생성에 의한 한국어 서답형 문항의 자동채점 시스템)

  • Kang, SeungShik;Jang, EunSeo
    • KIISE Transactions on Computing Practices
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    • v.22 no.5
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    • pp.218-224
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    • 2016
  • This paper proposes a computer-based practical automatic scoring system for Korean short answers through student answer analysis and natural language processing techniques. The proposed system reduces the overall scoring time and budget, while improving the ease-of-use to write answer templates from student answers as well as the accuracy and reliability of automatic scoring system. To evaluate the application of the automatic scoring system and compare to the human scoring process, we performed an experiment using the student answers of social science subject in 2014 National Assessment of Educational Achievement.

Implementation of Forced Answer Model for Sensitive Information at On-Line Survey

  • Park, Hee-Chang;Ryu, Jee-Hyun;Lee, Sung-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.489-499
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    • 2003
  • In this paper we implement the system for the forced answer model which is an indirect response technique on the internet as a way of obtaining much more precise information, not revealing secrets of responsors. In this system we consider that respondents are generally reluctant to answer in a survey to get sensitive information targeting employees, customers, etc.

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A Study Harmony on “Question & Answer” of Pat Metheny (Pat Metheny의 작품 "Question & Answer“의 화성분석)

  • Kim, Hyeong-June;Kim, Dae-Seung
    • Proceedings of the KAIS Fall Conference
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    • 2010.05b
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    • pp.755-758
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    • 2010
  • 본 논문에서는 현재 Jazz에서 사용되어지는 화성기법을 Pat Metheny의 작품인 “Question & Answer”를 통해서 알아보았다. D Minor Pentatonic Scale이 선율에 주로 사용된 본 작품은 Intro부분에서는 Quater Voicing이 사용되었다. A 부분에서는 Line Cliche와 D Minor Scale과 D Harmonic Minor Scale의 Diatonic Chord를 사용하였지만 A Aeolian Mode적인 기법이 A부분 셋 번째 단에서 사용되어 Modal적인 분위기도 연출 하였으며 B부분에서는 John Coltrane이 자주 사용하였던 3 Tonic 기법이 사용되면서 동질의 화성이 일정간격으로 움직이는 Constant Structure기법도 사용되었다.

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AN IMPLEMENTATION AND EVALUATION OF RANDOMIZED-ANN SIMULATOR USING A PC CLUSTER

  • Morita, Yoshiharu;Nakagawa, Tohru;Kitagawa, Hajime
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.99-102
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    • 2001
  • We propose a PC cluster using general-purpose microprocessors and a high-speed network for simulating ANN (Artificial Neural Network) processes on Linux OS. We apply this cluster to intelligent information processing such as ANN simulation. The elapsed time for simulating ANNs can be reduced from 7,295 seconds by a PE (Processing Element) to 1,226 seconds by six PEs. The reliability of a pattern-classification using ANNs can be improved by the proposed ANN, Randomized-ANN. In order to generate a Randomized-ANN, we choose three ANNs and combine the output results from three huts by means of logical AND. Results are as follows: The mean correct answer rate is 94.4%, the mean wrong answer rate is only 0.1 %, and the mean unknown answer rate is 5.5 %. We make sure that Randomized-ANN approach reduces the mean wrong answer rate within a tenth part and improves the reliability of Japanese coin classification.

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