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Physics lego figure. Photo.

Anders Björkelund


Physics lego figure. Photo.

A high-performance syntactic and semantic dependency parser


  • Anders Björkelund
  • Bernd Bohnet
  • Love Hafdell
  • Pierre Nugues

Summary, in English

This demonstration presents a highperformance syntactic and semantic dependency

parser. The system consists of a pipeline of modules that carry out the tokenization, 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.


  • ELLIIT: the Linköping-Lund initiative on IT and mobile communication
  • Department of Computer Science
  • Robotics and Semantic Systems

Publishing year







[Host publication title missing]

Document type

Conference paper


Coling 2010: Demonstration Volume


  • Computer Science
  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

23rd International Conference on Computational Linguistics

Conference date

2010-08-23 - 2010-08-27

Conference place

Beijing, China