Question answering system for railway schedule (Record no. 4931)

MARC details
000 -LEADER
fixed length control field 01909nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122808.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160301b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Arun As (92213001)
9 (RLIN) 8284
245 ## - TITLE STATEMENT
Title Question answering system for railway schedule
502 ## - DISSERTATION NOTE
Degree type Master of Science in Computational Science
Name of granting institution 2013-2015
Year degree granted EXT
-- T.K Manoj Kumar
-- Radhika Mamidi ( Assistant professor)
Miscellaneous information " International Institute of Information Technology-Hyderabad"
520 ## - SUMMARY, ETC.
Summary, etc. Using a computer to answer questions has been a human dream since the beginning of the digital era. A first step towards the achievement of such an ambitious goal is to deal with natural language to enable the computer to understand what its user asks. The discipline that studies the connection between natural language and the representation of its meaning via computational models is computational linguistics. According to such discipline, Question Answering can be defined as the task that, given a question formulated in natural language, aims at finding one or more concise answers. Here I am implementing question answering system in railway schedule. The system will handle seven types of queries. The domain will be the local train schedule in Trivandrum central railway station. This is a template based system. If we are giving a natural language question, the question run on the Stanford parser and extracting the key word from the parser and fill it in the template. Here the templates are from station, to station, via station, train name, train number, arrival time, departure time etc. If any template is missing it will form a query and run on the database and give the answer from database. The final output we get is in natural language.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION SYSTEMS
9 (RLIN) 8285
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION RETRIEVAL
9 (RLIN) 8286
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NATURAL LANGUAGE PROCESSING
9 (RLIN) 8287
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 Home library Current library Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre 01/03/2016   R-648 01/03/2016 01/03/2016 Project Reports