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Bolat, Saadettin

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Arş. Gör.
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Bilgisayar Mühendisliği
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    Master Thesis
    Analysis of natural language sentences using natural language processing methods
    (2005) Bolat, Saadettin; Bilgisayar Mühendisliği
    The aim of this study is to develop a Web-based Question Answering System, which primarily focuses on open domain fact-based short answer questions and also some definition questions. The system takes the advantage of Web which contains enormous amount of documents available online and the redundancy (multiple answer occurrences) available in the Web documents. In order to find a correct answer to a question, the first step is to determine the type of answer that the question asks for. The system analyzes and classifies the questions according to the hand-made question analysis templates. These question analysis templates are based on the question words, English grammar and some other keywords in the questions. It first creates possible sentence substrings and then search engine specific queries. To analyze the retrieved search results, the system applies a series of filters to each sentence containing the iii candidate answer and a score is given to each sentence. Among all candidate sentences, top 5 ranked sentences containing the answers are returned as possible answers. The performance of our system has been compared to the AnswerBus question answering system which is an online, publicly accessible system on the Web, and similar to our approach in several aspects. According to the evaluation results, our system appeared better than AnswerBus in terms of accuracy
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    Conference Object
    Citation - WoS: 0
    Citation - Scopus: 0
    A novel intelligent and fast question answering system for world wide web
    (int inst informatics & Systemics, 2007) Aşkun, Ali Rıza; Bolat, Saadettin; Demirbulak, Dilara; Askun, Ali Riza; Dernirbulak, Dilara; Hassanpour, Reza; Bolat, Saadettin; 56475; Ortak Dersler Bölümü; İngiliz Dili ve Edebiyatı; Yazılım Mühendisliği; Bilgisayar Mühendisliği
    The World Wide Web has expanded to include on-line access to an almost unlimited number of documents. However, this enormous source of information brings with it the problem of searching the documents efficiently and easily. We have developed a Web-based Question Answering System, which primarily focuses on open domain fact-based short answer questions and also some definition questions. The most important characteristics of the system are its capability in understanding questions given in a natural language style and the effective search which avoids transferring a large amount of unnecessary data. Experimental results show the superiority of the proposed method to available similar systems in terms of accuracy.