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.V24I1.7778

Markdown

[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.V24I1.7778

BibTeX

@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/}
}