Luận văn:A Vietnamese Text-based Conversational Agent : Luận văn ThS. Công nghệ thông tin: 60 48 01
Nhà xuất bản:ĐHCN
Ngày:2011
Chủ đề:Trí tuệ nhân tạo
Đàm thoại
Ngôn ngữ máy tính
Tiếng Việt
Văn bản
Miêu tả:46 p + CD-ROM
Luận văn ThS. Khoa học máy tính -- Trường Đại học Công nghệ. Đại học Quốc gia Hà Nội, 2011
The first step that a question answering system must perform is to transform an input question into an intermediate representation. Most published works so far use rule-based approaches to realize this transformation in question answering systems. Nevertheless, in existing rule-based approaches, manually creating the rules is error-prone and expensive in time and effort. In this thesis, we focus on introducing a rule-based approach that offers an intuitive way to create compact rules for extracting intermediate representation of input questions. Experimental results are promising where our system achieves reasonable performance and demonstrate that it is straightforward to adapt to new domains and languages. More importantly, this thesis introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question answering system fails to provide answers to user input, our conversational agent can step in to interact with users to provide answers to users. Experimental results are promising where our Vietnamese text-based conversational agent achieves positive feedback in a study conducted in the university academic regulation domain
Electronic Resources
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