Annotation of Temporal Relations Within a Discourse

  • Petr Němec
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)


In this paper we present an annotation scheme that captures general temporal relations between events expressed in a discourse. The proposed scheme aims to naturally extend the existing tectogrammatic annotation of the Prague Dependency Treebank and represents a step towards capturing the cognitive (ontological) content of a discourse. The existence of such an annotation will allow the training and testing of algorithms for automatic extraction of temporal relations which, in turn, contributes to various NLP tasks such as information retrieval and machine translation. 233 sentences of Czech translations of the Wall Street Journal (Penn Treebank) have been annotated so far. We also present statistics on the distribution of respective temporal relations based on this preliminary annotation data as well as the performance of a grammar-based algorithm.


Temporal Information Temporal Relation Machine Translation Wall Street Journal Information Retrieval System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Petr Němec
    • 1
  1. 1.Institute of Formal and Applied Linguistics, Faculty of Mathematics and PhysicsCharles UniversityPrahaCzech Republic

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