Intelligent Time-Aware Query Translation for Text Sources

Authors

  • Amal Kaluarachchi Montclair State University
  • Aparna Warde Montclair State University
  • Jing Peng Montclair State University
  • Anna Feldman Montclair State University

DOI:

https://doi.org/10.1609/aaai.v24i1.7778

Keywords:

AR mining, Text Similarity,NLP

Abstract

This paper describes a system called SITAC based on our proposed approach to discover concepts (called SITACs) in text archives that are identical semantically but alter their names over time. Our approach integrates natural language processing, association rule mining and contextual similarity to discover SITACs in order to answer historical queries over text corpora.

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Published

2010-07-05

How to Cite

Kaluarachchi, A., Warde, A., Peng, J., & Feldman, A. (2010). Intelligent Time-Aware Query Translation for Text Sources. Proceedings of the AAAI Conference on Artificial Intelligence, 24(1), 1935-1936. https://doi.org/10.1609/aaai.v24i1.7778

Issue

Vol. 24 No. 1 (2010): Twenty-Fourth AAAI Conference on Artificial Intelligence

Section

Student Abstracts