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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/478

Title: Adaptive Artificial Intelligent Q&A Platform
Authors: Akram, M.R.
Singhabahu, C.P
Saad, M.S.M
Deleepa, P
Nugaliyadde, A
Mallawarachchi, Y.
Keywords: Artificial Neural Networks
TensorFlow
Recurrent Neural Networks
(LSTM) Long short-term memory
Deep Learning
Question & Answer
Word Embedding
Sequence-To-Sequence model
Issue Date: 2017
Publisher: SLIIT
Series/Report no.: ;17-107
Abstract: The paper presents an approach to build a question and answer system that is capable of processing the information in a large dataset and allows the user to gain knowledge from this dataset by asking questions in natural language form. Key content of this research covers four dimensions which are; Corpus Preprocessing, Question Preprocessing, Deep Neural Network for Answer Extraction and Answer Generation. The system is capable of understanding the question, responds to the user’s query in natural language form as well. The goal is to make the user feel as if they were interacting with a person than a machine.
URI: http://hdl.handle.net/123456789/478
Appears in Collections:SLIIT Student Research -2017

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