Intelligent Time-Aware Query Translation for Text Sources
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.
Cite
Text
Kaluarachchi et al. "Intelligent Time-Aware Query Translation for Text Sources." AAAI Conference on Artificial Intelligence, 2010. doi:10.1609/AAAI.V24I1.7778Markdown
[Kaluarachchi et al. "Intelligent Time-Aware Query Translation for Text Sources." AAAI Conference on Artificial Intelligence, 2010.](https://mlanthology.org/aaai/2010/kaluarachchi2010aaai-intelligent/) doi:10.1609/AAAI.V24I1.7778BibTeX
@inproceedings{kaluarachchi2010aaai-intelligent,
title = {{Intelligent Time-Aware Query Translation for Text Sources}},
author = {Kaluarachchi, Amal Chaminda and Varde, Aparna S. and Peng, Jing and Feldman, Anna},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2010},
pages = {1935-1936},
doi = {10.1609/AAAI.V24I1.7778},
url = {https://mlanthology.org/aaai/2010/kaluarachchi2010aaai-intelligent/}
}