Applying Latent Semantic Indexing on the TREC 2010 Legal Dataset.

We applied both Latent Semantic Indexing (LSI) and Essential Dimensions of LSI (EDLSI) to the 2010 TREC Legal Learning task. This year the Enron email collection was used and teams were given a list of relevant and a list of non-relevant documents for each of the eight test queries. In this article we focus on our attempts to incorporate machine learning into the LSI process. We show the EDLSI continues to outperform LSI on