A scaffolding approach to coreference resolution integrating statistical and rule-based models

@article{Lee2017ASA,
  title={A scaffolding approach to coreference resolution integrating statistical and rule-based models},
  author={Heeyoung Lee and Mihai Surdeanu and Daniel Jurafsky},
  journal={Natural Language Engineering},
  year={2017},
  volume={23},
  pages={733-762}
}
We describe a scaffolding approach to the task of coreference resolution that incrementally combines statistical classifiers, each designed for a particular mention type, with rule-based models (for sub-tasks well-matched to determinism). We motivate our design by an oracle-based analysis of errors in a rule-based coreference resolution system, showing that rule-based approaches are poorly suited to tasks that require a large lexical feature space, such as resolving pronominal and common-noun… CONTINUE READING

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Key Quantitative Results

  • The resulting system achieves 63.2 F1 on the CoNLL-2012 shared task dataset, outperforming the rule-based starting point by over 7 F1 points.

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