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Reseach Article

Dialogue Based Assistant for Career Counseling

Published on None 2011 by Gayatri Srivathsan, Asha Bharambe, Hitu Varshney, Poorvi Garg, Ramya Bhaskaran
journal_cover_thumbnail
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 13
None 2011
Authors: Gayatri Srivathsan, Asha Bharambe, Hitu Varshney, Poorvi Garg, Ramya Bhaskaran
b72e370b-530b-4776-9af0-5952df1f5cb6

Gayatri Srivathsan, Asha Bharambe, Hitu Varshney, Poorvi Garg, Ramya Bhaskaran . Dialogue Based Assistant for Career Counseling. International Conference and Workshop on Emerging Trends in Technology. ICWET, 13 (None 2011), 1-7.

@article{
author = { Gayatri Srivathsan, Asha Bharambe, Hitu Varshney, Poorvi Garg, Ramya Bhaskaran },
title = { Dialogue Based Assistant for Career Counseling },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 13 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 1-7 },
numpages = 7,
url = { /proceedings/icwet/number13/2166-is225/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Gayatri Srivathsan
%A Asha Bharambe
%A Hitu Varshney
%A Poorvi Garg
%A Ramya Bhaskaran
%T Dialogue Based Assistant for Career Counseling
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 13
%P 1-7
%D 2011
%I International Journal of Computer Applications
Abstract

This paper aims at implementing a Question and Answer based AI application to provide students with career counseling. With the aid of an Intelligent Expert System, the software is equipped with all the necessary domain specific information about various vocations and also the capability to draw apt inferences based on heuristic and judgmental knowledge, while providing the human psychologist touch. The interaction with the user is facilitated through aptitude and attitude tests taken by the user and also the Dialog Management System implemented through Natural Language Processing. The application is a learning agent and recursively incorporates new features based on relevant feedback given by user.

References
  1. Bates J (1994). The role of emotion in believable agents, Communications of the ACM, 37(7), 122-125.
  2. Branting, K., Lester, J., and Mott, B. (2004). Dialogue Management for Conversational Case-Based Reasoning. Proc. of the 7th European Conference on Case-Based Reasoning, pp. 77-90.
  3. Gratch, J. and Marsella, S. Evaluating a Computational Model of Emotion Journal of Autonomous Agents and Multiagent Systems (Special Issue on the Best of AAMAS 2004) 2005.
  4. Jurafsky & Martin. Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice-Hall Inc., New Jersey, 2000. (ISBN: 0-13-095069-6).
  5. R. W. A. Hudson and J. A. Self. “A Dialogue System to Teach Database Concepts”, Department of Computer Studies, University of Lancaster, Lancaster LA 1 4YN, UK.
  6. Shawar, B. A., and Atwell, E. (2007). Different measurements metrics to evaluate a chatbot system. Proc. of the 2nd Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing.
  7. Xu Wei and Alexander I. Rudnicky. “Task-based dialog management using an agenda”, School of Computer Science – Carnegie Mellon University 5000 Forbes AVE – Pittsburgh, PA 15213.
  8. James Lu “Prolog A Tutorial Introduction”, Jerud J. Mead Computer Science Department Bucknell University Lewisburg, PA 17387.
  9. Reva Freedman “Plan-Based Dialogue Management in a Physics Tutor” Learning Research and Development Center University of Pittsburgh Pittsburgh, PA 15260 freedrk+@pitt.edu http://www.pitt.edu/~freedrk
  10. Cheongjae Lee, Sangkeun Jung, Jihyun Eun, Minwoo Jeong, and Gary Geunbae Lee “A SITUATION-BASED DIALOGUE MANAGEMENT USING DIALOGUE EXAMPLES” Department of Computer Science and Engineering Pohang University of Science and Technology, South Korea {lcj80, hugman, tigger, stardust, gblee}@postech.ac.kr.
  11. McTear, “Modelling Spoken Dialouges with State Transition Diagrams: Experiences with the CSLU Toolkit,” in Proceedings of the 5th International Conference on Spoken Language Processing, vol. 4, pp. 1223-1226, 1998.
  12. Klas Burén Andreas Ling, “Natural Language Processing in a Dialog Based Assistant” MSI Report 05129, Växjö University ISSN 1650-2647, SE-351 95 VÄXJÖ ISRN VXU/MSI/DA/E/--05129/--SE
  13. David D. Lewis, Karen Sparck Jones. Natural Language Processing for Information Retrieval. January 1996/Vol. 39, No. 1 Communications of the ACM., P92-101. © ACM 0002-0782/96/0100.
  14. A. Gable and C. V. Page, The use of artificial intelligence techniques in computer-assisted instruction: an overview. International Journal of Man-Machine Studies 12, 259-282
Index Terms

Computer Science
Information Sciences

Keywords

Dialogue Management System Expert System Knowledge Engineering Computer Learning