A Framework for Restricted Domain Question Answering System using advanced NLP tools and software

Authors: Shilpa Sharma, Manmohan Tiwari

Published in: IJRRETAS, Volume 4, Issue 5, pp. 1-5 (01 May 2018)

Impact Factor: 3.8 (2018)

License: CC BY 4.0 CC BY 4.0 (Open Access)

Certificate: View Certificate

Abstract

Question and Answering System is one of the major research are in Natural Language. Main challenges of Question and Answer system gives exact answer of question which give by user. Question and Answering system can be classified into three category are open domain, closed domain and restricted domain. Using advanced Natural Language Processing tool we will be developed a framework for question answering system. In this paper we work on restricted domain question answering system. Proposed system work on keyword and question matching and return precise answer of question.

Keywords
  • Natural Language processing
  • information retrieval
  • semantic similarity
  • restricted domain
  • answer extraction
  • answer ranking
References
  1. . Sreelakshmi V, Sangeetha Jamal, Survey Paper : Question Answering Systems, in National Conference on Computing and Communication - (NCCC ), March 2014, GEC Idukki.
  2. . M Ramprasath, S Hariharan Improved Question Answering System by semantic reformulation, IEEE-Fourth International Conference on Advanced Computing, 2012.
  3. . Ali Mohamed Nabil Allam, and Mohamed Hassan Haggag, The Question Answering Systems: A Survey, International Journal of Research and Reviews in Information Sciences (IJRRIS), September 2012 Science
  4. Woods W.A, Kaplan R.A, Nash-Webber.B, "The lunar sciences naturallanguage information system" , Final report: BBN Report #2378. Technical report, Bolt Beranek and Newman Inc.,Cambridge, MA., June 1972.
  5. Green RF, Wolf A.K., Chomsky, K. Laughery, "BASEBALL: An automatic question answerer", in: Proceedings of Western Computing Conference, vol.19, pp. 2 19-224, 196 1.
  6. Ittycheriah A, Franz M, Zhu WJ, Ratnaparkhi A and Mammone RJ. IBM?s statistical question answering system. In Proceedings of the Text Retrieval Conference TREC-9, 2000.
  7. Athira P. M., Sreeja M. and P. C. Reghuraj Department of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India, 678633. Architecture of an Ontology-Based Domain-Specific Natural Language Question Answering System.
  8. Pragisha K. “design and implementation of a QA system in Malayalam”.
  9. Sanjay K Dwivedi, Vaishali Singh. Research and reviews in question answering system Department of Computer Science, B. B. A. University (A Central University) Luck now, Uttar Pradesh, 226025, India.
  10. Poonam Gupta, Vishal Gupta Assistant Professor, Computer Science & Engineering Department University Institute of Engineering & Technology Panjab University, Chandigarh.
  11. Kolomiyets, Oleksander. And Moens, Marie-Francine. “A survey on question answering technology from an information retrieval perspective”. Journal of Information Sciences 181, 2011.5412-5434. doi:10.1016/j.ins.2011.07.047. Elsevier.
  12. Moreda, Paloma., Llorens Hector., Saquete, Estela. And Palomar, Manuel.“Combining semantic information in question answering systems” Journal of Information Processing and Management 47, 2011. 870- 885. doi:10.1016/j.ipm.2010.03.008. Elsevier.
  13. Ko, Jeongwoo., Si, Luo., and Nyberg Eric.Academy Publisher, United Kingdom “Combining evidence with a probabilistic framework for[4] Molla D., and Vicedo J., "Question answering in answer ranking and answer merging in questionrestricted domains: An overview", Computer Linguist, answering” Journal: Information Processing andppAI-6 1, 2007 Management 46, 2010 541-554. DOI:[5] Moreda P., Llorens H., Saquete E., & Palomar M., 10.1016/j.ipm.2009.11.004. Elsevier."Combining semantic information in question answering
  14. Pachpind Priyanka P, BornareHarshita N,systems", Information Processing & Management, pp.870-KshirsagarRutumbhara B, Malve Ashish D BE Comp885, 20 1 1. S.N.D COE & RC, YEOLA,” An Automatic Answering[6] Svetlana Stoyanchev, and Young Chol Song, and System Using Template Matching For Natural LanguageWilliam Lahti, "Exact Phrases in Information Retrieval for Questions”.Question Answering", Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering (IR4QA), pp. 9- 16 Manchester,UK. August 2008".
How to Cite
APA: Sharma, S., & Tiwari, M. (2018). A Framework for Restricted Domain Question Answering System using advanced NLP tools and software. International Journal for Rapid Research in Engineering Technology & Applied Science, 4(5), 1–5. https://ijrretas.com/research-paper/a-framework-for-restricted-domain-question-answering-system-using-advanced-nlp-tools-and-software