Proceedings

A Revised Algorithm for Latent Semantic Analysis

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Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1489-1490.

Abstract

The intelligent tutoring system AutoTutor uses latent semantic analysis to evaluate student answers to the tutor's questions. By comparing a student's answer to a set of expected answers, the system determines how much information is covered and how to continue the tutorial . Despite the success of LSA in tutoring conversations, the system sometimes has difficulties determining at an early stage whether or not an expectation is covered . A new LSA algorithm significantly improves the precision of AutoTutor's natural language understanding and can b e applied to other natural language understanding applications.

Xiangen Hu, Zhiqiang Cai, Max M. Louwerse, Andrew Olney, Phanni Penumatsa, and Arthur C. Graesser. 2003. A Revised Algorithm for Latent Semantic Analysis. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1489–1490. https://ijcai.org/proceedings/2003/246
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