• Title/Summary/Keyword: question/answer

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현대문명(現代文明)의 에너지 문제(問題)와 그 향방(向方) - 수소(水素)에너지시대(時代)를 전망(展望)하며 -

  • Kim, Gil-Hwan
    • Solar Energy
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    • v.9 no.2
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    • pp.78-89
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    • 1989
  • When future historians look back at our epoch and try to arrive at some answer to the perplexing question "what went wrong?", maybe one answer will be along the following lines: arrogant Western Man thought he could do better than Nature, even to the point of working against Nature rather than with Her.

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Korean Question-Answering System using Syntactic-Relation Information (구문 관계 정보를 이용한 한국어 질의-응답 시스템)

  • 신승은;이대연;서영훈
    • The Journal of the Korea Contents Association
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    • v.4 no.2
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    • pp.36-42
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    • 2004
  • This paper describes the Korean Question answering system using the syntactic-relation information d verbs to overcome lack of reliable knowledge and linguistic resources. The syntactic-relation information consists d the original form d a verb, usual usage pattern, semantic category of each dependent noun, synonym verbs and passive verbs. We use the syntactic-relation information to parse sentences or phrases with usual usage pattern of the verb and semantic conditions of dependent components on the verb. We also use that information to parse answer candidate sentences, and find an answer from questioned case slot. Our experiments that usage of the syntactic-relation information of verbs to mm lack of reliable knowledge and linguistic resources can be utilized efficiently for the Korean question answering system.

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Answerers' Strategies to Provide Credible Information in Question Answering Community (지식검색 커뮤니티에서 신뢰성 있는 답변을 제공하기 위한 답변자들의 전략)

  • Kim, Soo-Jung
    • Journal of the Korean Society for information Management
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    • v.27 no.2
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    • pp.21-35
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    • 2010
  • The popularity of question answering communities such as Yahoo! Answers and Naver Knowledge-iN and increasing doubts about the competence of lay information providers prompted this study to explore answerers' strategies to provide a credible answer in a question answering community. Forty-four active answerers in Yahoo! Answers were included in this study, and interviews were conducted through email, chat, and over the telephone. This study identified a set of information sources the answerers used, an array of important strategies to provide a credible answer, and their perception of self-claimed expertise. Implications of results were discussed in the context of user instruction.

User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence (동시출현 자질과 집단 지성을 이용한 지식검색 문서 사용자 명성 평가)

  • Lee, Hyun-Woo;Han, Yo-Sub;Kim, Lae-Hyun;Cha, Jeong-Won
    • Korean Journal of Cognitive Science
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    • v.19 no.4
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    • pp.459-476
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    • 2008
  • The user needs to find the answer to your question is growing fast at the service using collective intelligent knowledge. In the previous researches, it was proven that the non-text information like view counting, referrer number, and number of answer is good in evaluating answers. There were also many works about evaluating answers using the various kinds of word dictionaries. In this work, we propose new method to evaluate answers to question effectively using user reputation that estimated by the social activity. We use a modified PageRank algorithm for estimating user reputation. We also use the similarity between question and answer. From the result of experiment in the Naver GisikiN corpus, we can see that the proposed method gives meaningful performance to complement the answer selection rate.

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