Scoring and evaluation of user input in voice user interfaced intelligent interviewer chatbot (Record no. 6110)

MARC details
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fixed length control field 02222nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122840.0
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fixed length control field 180604b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Anjana Anto (91616002)
9 (RLIN) 14284
245 ## - TITLE STATEMENT
Title Scoring and evaluation of user input in voice user interfaced intelligent interviewer chatbot
300 ## - PHYSICAL DESCRIPTION
Extent MSC MI 2016-2018
500 ## - GENERAL NOTE
General note Chatbot is a text based conversation agent which can interact human users through some<br/>medium, such as chat interface. Chat interface may be Conversational user interface or voice<br/>user interface. Conversational interface is a user interface design that allows users to chat with<br/>either real humans or bots. Conversational interfaces introduce an opportunity to interact with a<br/>machine using natural language. It takes two forms one is voice assistant that allows you to talk<br/>and other one is chatbots that allow you to type. Instead of using computer specific language,<br/>Conversational user interface enables users to talk to a computer the way they might talk to<br/>another human. This will become more advanced and more efficient. Here I-aBro is an education<br/>and learning chatbot that replace the conversational interface to VUI (voice user interface). VUI<br/>allows the user to interact user with both voice and speech commands. I-aBro generates both<br/>questions and answers and provides evaluation of users input. The main advantage of I-aBro is<br/>that the question is generated via previous response of the user’s input. And here we use Named<br/>Entity Recognition (NER) technology to generate the question, which made more reliable<br/>interview approach. I-aBro, the interview chatbot help to reduce human effort and it is a very<br/>time-consuming process. One of the challenge of I-aBro is to evaluate the interview. Evaluation<br/>is done in two ways. One method is Chat-log is converted to PDF format which sent via mail to<br/>of experts, and another method is evaluation by system itself which is done by Levenshtein<br/>Distance of users’ response.
502 ## - DISSERTATION NOTE
Degree type MSC MI
Name of granting institution 2016-2018
Year degree granted INT
-- Mr. Pradeep Kumar K
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CHATBOT
9 (RLIN) 14285
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element VOICE USER INTERFACE
9 (RLIN) 14286
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NATURAL LANGUAGE PROCESSING
9 (RLIN) 14287
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   04/06/2018   R-1404 04/06/2018 04/06/2018 Project Reports