Smart City Gnosys
Smart city article details
| Title | Smart Sustainable Cities: A Chatbot Based On Question Answering System Passing By A Grammatical Correction For Serving Citizens |
|---|---|
| ID_Doc | 51486 |
| Authors | Afrae B.; Mohamed B.A.; Abdelhakim B.A. |
| Year | 2021 |
| Published | Advances in Science, Technology and Innovation |
| DOI | http://dx.doi.org/10.1007/978-3-030-53440-0_34 |
| Abstract | The smart city concept has been developed as a strategy for working with cities as they become systematically more complex through interconnected frameworks and increasingly rely on the use of Information and Communication Technology to meet the needs of their citizens. At this end, as users struggle to navigate the wealth of on-line information now available, the need for automated question answering systems becomes more urgent. Most QA systems use a wide variety of linguistic resources. We focus instead on the redundancy available in large corpora as an important resource. QA System that described in this paper, built using a seq2seq model, BiLSTM as encoder, a LSTM as decoder, and Attention mechanism for boosting the model performance whether Grammatical Correction Model or Question Answering Model, we have proposed to build a grammatical model first to pass a corrected question to the second system in order to improve QA system results. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Attention mechanism; BiLSTM; Bleu score; Chatbot; Grammatical correction; Natural language; Question and answer; Seq2Seq; Smart city; Sustainability |
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