· 8 years ago · Jan 25, 2018, 06:52 AM
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16 \textsc{\LARGE University of Dhaka}\\[1.5cm]
17 \includegraphics[width=0.2\textwidth]{logo.png}\\[1cm]
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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31 \bigskip
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:}\\
68Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language. A QA implementation, usually a computer program, may construct its answers by querying a structured database of knowledge or information, usually a knowledge base. More commonly, QA systems can pull answers from an unstructured collection of natural language documents.
69What we aim to do is to use deep learning framework and other machine learning tools to mine data from a specific repository and retrieve information such that we can answer various questions relating to an important field and come to conclusions that will make a good impact on the particular field. There are a broad class of useful social, medical and institutional data that can be collected and mined to further justify the data and make useful theory based on various features.\\\\
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