BART: a modular toolkit for coreference resolution

  • Authors:
  • Yannick Versley;Simone Paolo Ponzetto;Massimo Poesio;Vladimir Eidelman;Alan Jern;Jason Smith;Xiaofeng Yang;Alessandro Moschitti

  • Affiliations:
  • University of Tübingen;EML Research gGmbH;University of Essex;Columbia University;UCLA;Johns Hopkins University;Inst. for Infocomm Research;University of Trento

  • Venue:
  • HLT-Demonstrations '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Demo Session
  • Year:
  • 2008

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Abstract

Developing a full coreference system able to run all the way from raw text to semantic interpretation is a considerable engineering effort, yet there is very limited availability of off-the shelf tools for researchers whose interests are not in coreference, or for researchers who want to concentrate on a specific aspect of the problem. We present BART, a highly modular toolkit for developing coreference applications. In the Johns Hopkins workshop on using lexical and encyclopedic knowledge for entity disambiguation, the toolkit was used to extend a reimplementation of the Soon et al. (2001) proposal with a variety of additional syntactic and knowledge-based features, and experiment with alternative resolution processes, preprocessing tools, and classifiers.