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Abstract
One of the essential parts of human life is to compare one thing with another in order to take proper decisions. But it is difficult to find what parameters to compare and what could be the alternatives for it. To solve this difficulty we present a novel way to mine comparable entities from comparative questions. To ensure that accuracy is maintained we develop a weakly supervised bootstrap method. Experimentation has shown that this method has achieved accuracy of about 82.5% in comparative question identification and 83.3% in extraction of comparable entities.The results are far better than the state of art system that exists.Keywords— Bootstrapping,Comparative Questions, Comparators
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How to Cite
Laxmi Venkatraman, A. S., & Varun Varia, T. S. (2015). Mining Comparators From Comparative Questions. International Journal of Emerging Trends in Science and Technology, 2(03). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/553
References
1. Comparable Entity Mining from Comparative Questions, IEEE Transactions on Knowledge and Data Engineering,2013.
2. Nitin Jindal and Bing Liu. 2006b. Mining comparative sentences and relations. In Proceedings of AAAI ’06.
3. Ellen Riloff and Rosie Jones. 1999. Learning dictionaries for information extraction by multi-level Bootstrapping. In Proceedings of AAAI ’99 /IAAI ’99, pages 474–479.
2. Nitin Jindal and Bing Liu. 2006b. Mining comparative sentences and relations. In Proceedings of AAAI ’06.
3. Ellen Riloff and Rosie Jones. 1999. Learning dictionaries for information extraction by multi-level Bootstrapping. In Proceedings of AAAI ’99 /IAAI ’99, pages 474–479.