Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
We introduce EntityEngine, a system for answering entityrelationship queries over text. Such queries combine SQLlike structures with IR-style keyword constraints and therefore, ca...
Prior work has shown that combining results of various retrieval approaches and query representations can improve search effectiveness. Today, many meta-search engines exist which...
M. Catherine McCabe, Abdur Chowdhury, David A. Gro...