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by Sarah Zelikovitz, Haym Hirsh
IJCAI01 Workshop Notes on Text Learning: Beyond Supervision
http://www-2.cs.cmu.edu/~mccallum/textbeyond/papers/zelikovi.ps
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Abstract:
We present work in progress that uses Latent Semantic Indexing (LSI) in conjunction with background knowledge and unlabeled examples to improve text classification accuracy. The singular value decomposition (SVD) that is performed by LSI is done on an expanded term by document matrix that includes the labeled training examples as well as the unlabeled examples. We report classification accuracy on different data sets both with and withoutthe inclusion of background knowledge and
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