What's great and what's not: learning to classify the scope of negation for improved sentiment analysis
Isaac Councill | Ryan McDonald | Leonid Velikovich
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
We describe ParsCit, a freely available, open-source implementation of a reference string parsing package. At the core of ParsCit is a trained conditional random field (CRF) model used to label the token sequences in the reference string. A heuristic model wraps this core with added functionality to identify reference strings from a plain text file, and to retrieve the citation contexts. The package comes with utilities to run it as a web service or as a standalone utility. We compare ParsCit on three distinct reference string datasets and show that it compares well with other previously published work.