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Dear all: The ParsCit team has also been updating the ParsCit package, and is happy to announce a new version that improves on classification accuracy. This version also adds a fully-integrated module that adds document logical structure parsing so that that each line of the input is classified among 23 logical structure categories (e.g., page number, title, section header, figure, table, figureCaption, etc.) can be extracted from either plain text or XML output files that come from an OCR engine. The version also benefits from a number of user contributed fixes and training data. You can either download a copy of ParsCit for your own use, or use it through a web services interface. We welcome your feedback and hope that if you use ParsCit or any other freely available reference string parsing tool that you can contribute annotated data to help make these models more robust. ParsCit (and its online demos) are available from: http://wing.comp.nus.edu.sg/parsCit/ Current Distribution: http://wing.comp.nus.edu.sg/parsCit/parscit-100401.zip Cheers, Min