This is the home page of the ParsCit project, which performs reference string parsing, sometimes also called citation parsing or citation extraction. It is architected as a supervised machine learning procedure that uses Conditional Random Fields as its learning mechanism. You can download the code below, parse strings online, or send batch jobs to our web service (coming soon!). The code contains both the training data, feature generator and shell scripts to connect the system to a web service (used here too).
This tutorial was created for the MLibrary 2.0 workshop series. If you're following this tutorial on your own you may want to review the contents of the resources page before you begin. When you're finished, please help us to improve by taking this brief
WebCite® is an archiving system for webreferences (cited webpages and websites), which can be used by authors, editors, and publishers of scholarly papers and books, to ensure that cited webmaterial will remain available to readers in the future. Authors