An application of latent semantic analysis to word sense discrimination for words with related and unrelated meanings
Juan Pino, Maxine Eskénazi · 2009
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.