Using latent semantic analysis to improve access to textual information
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Predicting reading difficulty with statistical language models
Journal of the American Society for Information Science and Technology
A Novel Document Clustering Model Based on Latent Semantic Analysis
SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
Evaluation of utility of LSA for word sense discrimination
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Generating example contexts to illustrate a target word sense
IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
P-AWL: academic word list for Portuguese
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
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We present an application of Latent Semantic Analysis to word sense discrimination within a tutor for English vocabulary learning. We attempt to match the meaning of a word in a document with the meaning of the same word in a fill-in-the-blank question. We compare the performance of the Lesk algorithm to Latent Semantic Analysis. We also compare the performance of Latent Semantic Analysis on a set of words with several unrelated meanings and on a set of words having both related and unrelated meanings.