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A Review Paper: Question and Answering System

by Himanshu Goyal, Atul Kumar Srivastava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 13
Year of Publication: 2013
Authors: Himanshu Goyal, Atul Kumar Srivastava
10.5120/14638-2342

Himanshu Goyal, Atul Kumar Srivastava . A Review Paper: Question and Answering System. International Journal of Computer Applications. 84, 13 ( December 2013), 30-33. DOI=10.5120/14638-2342

@article{ 10.5120/14638-2342,
author = { Himanshu Goyal, Atul Kumar Srivastava },
title = { A Review Paper: Question and Answering System },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 13 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number13/14638-2342/ },
doi = { 10.5120/14638-2342 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:50.765757+05:30
%A Himanshu Goyal
%A Atul Kumar Srivastava
%T A Review Paper: Question and Answering System
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 13
%P 30-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is examined that the power of ontology based for open and closed domain question and its answering systems in this paper. In the order of obtaining an optimal database for this system, it has studied the method for linking the different phrases of different web links. The tagged corpus is built from an Internet in the bootstrapping process by providing some of the hand-crafted examples of each question and their types. And then the patterns are automatically extracted from the returned documents and formatted answers are provided according to the entities and keywords provided. The precision of each entity has been calculated, and the each question type's average. This ontology is then applied to find the answers of new questions which are about to ask.

References
  1. Proceedings of the 9th Text Retrieval Conference (TREC 9), NIST, 479–488. Richard J Cooper and Stefan M R. , "A Simple Question Answering System", News article from TIPSTER and TREC CD's, (Pg 1-7).
  2. Robert F. Simons, "Natural Language Question- Answering Systems: 1969", Communication of the ACM, Volume 13, January 1970, (Pg 15-30).
  3. David Ferrucci, Eric Nyberg, James Allan, Ken Barker, "Towards the Open Advancement of Question Answering Systems", IBM Research Report, RC24789(W0904-093) April 22,2009, (Pg 1-28).
  4. Harabagiu, S. , D. Moldovan, M. Pasca, R. Mihalcea, M. Surdeanu, R. Buneascu, R. Gîrju, V. Rus and P. Morarescu. 2001. FALCON: Boosting Knowledge for Answer Engines.
  5. Lotfi A. Zadeh," From Search Engines to Question Answering Systems – The Problems of World Knowledge, Relevance, Deduction and Precisiation", FUZZY LOGIC AND THE SEMANTIC WEB, 2005, (Pg 163-210).
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  7. Hovy, E. H. , U. Hermjakob, C. -Y. Lin, and D. Ravichandran. 2002b. Using Knowledge to Facilitate Pinpointing of Factoid Answers. Proceedings of the COLING-2002 conference. Taipei, Taiwan.
Index Terms

Computer Science
Information Sciences

Keywords

Anchor Corpus database multilingual Ontology and Pattern

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