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- W2921485648 abstract "Human Computer Interaction (HCI) is a field of study to interact between humans (user) and computers on the design of computer technology. Question Answering (QA) system is one of the parts of HCI and a process of Information Retrieval (IR) in Natural Language Processing (NLP). In this research, it is attempted for a Bangla Question Answering System with simple sentences and experimented the system for both Bangla and English language. And it is tried to perform with semantic and syntactical analysis. Furthermore, for Bangla, a word net is constructed to demonstrate the system process. Our proposed method is a model in which it is easy for users to get most possible exact answer to their question easily and reduces the complexity of using noun instead of pronoun for the requested answer with respect to the given question queries for Bangla. It improves better answer extraction than naive approach." @default.
- W2921485648 created "2019-03-22" @default.
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- W2921485648 date "2018-12-01" @default.
- W2921485648 modified "2023-10-18" @default.
- W2921485648 title "Improving Answer Extraction For Bangali Q/A System Using Anaphora-Cataphora Resolution" @default.
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- W2921485648 doi "https://doi.org/10.1109/ciet.2018.8660888" @default.
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