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On the Use of Anaphora Resolution for Workflow Extraction

  • Pol Schumacher
  • Mirjam Minor
  • Erik Schulte-Zurhausen
Chapter
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 263)

Abstract

In this chapter we present three anaphora resolution approaches for workflow extraction. We introduce a lexical approach and two further approaches based on a set of association rules which are created during a statistical analysis of a corpus of workflows. We implement these approaches in our generic workflow extraction framework. The workflow extraction framework allows to derive a formal representation based on workflows from textual descriptions of instructions, for instance, of aircraft repair procedures from a maintenance manual. The framework applies a pipes-and-filters architecture and uses Natural Language Processing (NLP) tools to perform information extraction steps automatically. We evaluate the anaphora resolution approaches in the cooking domain. Two different evaluation functions are used for the evaluation which compare the extraction result with a golden standard. The syntactic function is strictly limited to syntactical comparison. The semantic evaluation function can use an ontology to infer a semantic distance for the evaluation. The evaluation shows that the most advanced anaphora resolution approach performs best. In addition a comparison of the semantic and syntactic evaluation functions shows that the semantic evaluation function is better suited for the evaluation of the anaphora resolution approaches.

Keywords

Workflow extraction Process oriented case-based reasoning Information extraction Anaphora resolution 

Notes

Acknowledgments

This work was funded by the German Research Foundation, project number BE 1373/3-1.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Pol Schumacher
    • 1
  • Mirjam Minor
    • 1
  • Erik Schulte-Zurhausen
    • 1
  1. 1.Goethe Universität Frankfurt - Institut für Informatik - Lehrstuhl für WirtschaftsinformatikFrankfurt am MainGermany

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