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).
Gleaning Resource Descriptions from Dialects of Languages (GRDDL) This document presents GRDDL, a mechanism for Gleaning Resource Descriptions from Dialects of Languages; that is, for getting RDF data out of XML and XHTML documents using explicitly ass
CiteSeer: Scientific Literature Digital Library incorporating autonomous citation indexing, awareness and tracking, citation context, related document retrieval, similar document identification, citation graph analysis, and query-sensitive document sum...
G. Sautter, and K. Böhm. Proceedings of the Second International Conference on Theory and Practice of Digital Libraries, page 370--382. Berlin, Heidelberg, Springer-Verlag, (2012)