· 8 years ago · Feb 27, 2018, 01:52 PM
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16 \textsc{\LARGE University of Dhaka}\\[1.5cm]
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18 \textsc{\LARGE Department of Computer Science \& Engineering}\\[1.5cm]
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21 {\huge\bfseries Project Title: Improving Question-Answering system by mining data repository}\\[0.4cm]
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26 \textit{Author}\\
27 {Amar Debnath (Roll: 23)}\\
28 {Email:amar.csedu@gmail.com}
29 {Signature: }\\
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32 {Redoan Rahman (Roll: 41)}\\
33 {Email:redoanrahman744@ gmail.com}\\
34 {Signature: }\\
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41 \textit{Supervisor}\\
42 {Md. Mofijul Islam}\\
43 {Lecturer}\\
44 {Department of Computer Science and Engineering}\\
45 {University of Dhaka}\\
46 {Email: akash@cse.du.ac.bd}\\
47 {Signature: }\\
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66\section*{Project Title: Improving Question-Answering system by mining data repository}
67\section*{Abstract:}\\
68\par Designing a Question answering (QA) system is a new research problem in the field of Information Science and Natural Language Processing(NLP). As a part of the QA system, we have to design a learning algorithm which can mine a knowledge base in correlation of a particular question. More commonly, QA systems can pull answers from an unstructured collection of documents, however, we can utilize the multi-modal data sources, such as visual and large textual knowledge-base(Wikipedia), to improve the QA system. Moreover, With the recent advancement of Machine Learning techniques and the computation system, it is now easier to develop a QA system which can effectively extract the relationship of different entities and produce an appropriate outcome.\par In this research project, we want to use deep learning framework and other learning tools to mine data from a specific repository and retrieve information such that we can answer various questions for a particular field and reach to conclusions that will make a good impact on the particular field. We can design a QA system by utilizing various domains data, such as social networking, medical and biological data, academic and institutional data, etc.
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