QUESTION ANSWERING SYSTEM FROM UNSTRUCTURED DOCUMENTS FOR BANGLA LANGUAGE
This research describes the design and development of an intelligent question answering technique for Bangla language. Currently, an information retrieval (IR) system does not provide specific answer of a user’s question but extracts documents that are relevant to the need of a user. In this stud...
保存先:
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
2021
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| オンライン･アクセス: | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/634 |
| タグ: |
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| 要約: | This research describes the design and development of an intelligent question answering
technique for Bangla language. Currently, an information retrieval (IR) system does not
provide specific answer of a user’s question but extracts documents that are relevant to the
need of a user. In this study, the intelligent question answering system is similar to information retrieval as users submit question for finding answers from the given source documents.
The objective of this research is to develop a proper information or answer retrieval system
rather than document or passage retrieval which IR does actually. Here, the rule based and
the machine learning based approaches are implemented just like as the current research
trend. For a given question, all of the approaches in this study extract keywords, lexical and
semantic features from the input to find concise information or answer from the single or
multiple text articles that is relevant to the question. For time and quantity related questions,
the system gives specific answer otherwise the system retrieves relevant information. In the
experimentation stage, the comparison between the rule based and the decision tree based
approaches are made. Besides, an empirical analysis based on the other existing question
answering systems has been done. |
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