A high-performance syntactic and semantic dependency parser

  • Authors:
  • Anders Björkelund;Bernd Bohnet;Love Hafdell;Pierre Nugues

  • Affiliations:
  • Lund University;University of Stuttgart;Lund University;Lund University

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations
  • Year:
  • 2010

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Abstract

This demonstration presents a high-performance syntactic and semantic dependency parser. The system consists of a pipeline of modules that carry out the to-kenization, lemmatization, part-of-speech tagging, dependency parsing, and semantic role labeling of a sentence. The system's two main components draw on improved versions of a state-of-the-art dependency parser (Bohnet, 2009) and semantic role labeler (Björkelund et al., 2009) developed independently by the authors. The system takes a sentence as input and produces a syntactic and semantic annotation using the CoNLL 2009 format. The processing time needed for a sentence typically ranges from 10 to 1000 milliseconds. The predicate--argument structures in the final output are visualized in the form of segments, which are more intuitive for a user.