Designing effective chatbot system using gru with beam search (Record no. 19040)

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Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 20268
Author Thorat, Sandeep A.
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Title Designing effective chatbot system using gru with beam search
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Volume, Issue number Vol.13(1), Oct
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Place of publication, distribution, etc. Chennai
Name of publisher, distributor, etc. ICT Academy
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 2750-2755p.
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Summary, etc. <br/>Artificial Intelligence (AI) based Chatbot is a moderately new<br/>technology in the world. AI and Natural Language Processing (NLP)<br/>empowers a Chatbot to converse like a human being. Chatbots have<br/>become popular recently as they diminish human efforts by automating<br/>various tasks. AI-based Chatbot learns from the previous discussion<br/>and generates an appropriate response or action for the input given by<br/>the user. In the proposed research work we designed AI-based Chatbot<br/>system using the Sequence to Sequence (Seq2Seq) model. This system<br/>uses a Gated Recurrent Unit (GRU) for encoder and decoder. In the<br/>proposed model the GRU encoder accepts a query from the user. The<br/>GRU encoder uses an attention mechanism to consider only relevant<br/>information and convert it into the context vector form. A context vector<br/>is another input to the GRU decoder. The GRU decoder generates a<br/>response using the Beam search algorithm. The research work uses<br/>Cornell Movie Dialogue Corpus to train the proposed interactive<br/>Chatbot system. It is observed that the proposed model with the<br/>combination of GRU and Beam search gives better accuracy with the<br/>minimum loss for testing data. These experimental results are better<br/>than existing approaches that use LSTM Seq2Seq models to train<br/>Chatbot systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
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9 (RLIN) 20269
Co-Author Jadhav, Vishakha D.
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Place, publisher, and date of publication Chennai ICT Academy
Title ICTACT Journal on Soft Computing (IJSC)
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URL https://ictactjournals.in/paper/IJSC_Vol_13_Iss_1_Paper_2_2750_2755.pdf
Link text Click here
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    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 27/03/2023   2023-0511 27/03/2023 27/03/2023 Articles Abstract Database
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