In this paper we argue that researchers in Intelligent Data Analysis (IDA) in Medicine and Pharmacology should consider textual databases as an additional source of knowledge. We describe three areas where medical knowledge extraction from textual databases can be fruitful: finding new applications for existing drugs, evolution of medical knowledge in time, and drug risk assessment. We evaluate...

This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes the notion of textual entailment. We then describe a concrete alignment-based model for lexical entailment, which utilizes web co-occurrence statistics in a bag of words representation. Finally, we report the results of ...

The primary focuses of this entry this year was firstly, to develop a framework to allow multiple researchers from our group to easily contribute metrics measuring textual entailment, and secondly, to provide a baseline which we could use in our tools to evaluate and compare new metrics. A development environment tool was created to quickly allow for testing of various metrics and to easily ran...