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CorefGraph is an independent python module to perform coreference resolution, a Natural Language Processing task which consists of determining the mentions that refer to the same entity in a text or discourse. CorefGraph is a multilingual rule-based system loosely based on the Stanford Multi Sieve Coreference System [Stanford Multi Sieve Pass system (Lee et al., 2013)](http://www-nlp.stanford.edu/downloads/dcoref.shtml). Currently it supports English and Spanish but it can be extended to other languages.

The module provides resources for English and Spanish coreference resolution but it can be adapted to other languages.

If you use corefgraph, please cite this paper:

Rodrigo Agerri, Josu Bermudez and German Rigau (2014): “IXA pipeline: Efficient and Ready to Use Multilingual NLP tools”, in: Proceedings of the 9th Language Resources and Evaluation Conference (LREC2014), 26-31 May, 2014, Reykjavik, Iceland.

CorefGraph is being used by the [ixa pipes tools](http://ixa2.si.ehu.es/ixa-pipes) which can be used to provide the necessary input.

This work has been partially funded by a PhD Grant of the University of Deusto.

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