A Linguistically Grounded Annotation Language for Spatial Information

نویسندگان

  • James Pustejovsky
  • Jessica L. Moszkowicz
  • Marc Verhagen
چکیده

An understanding of spatial information in natural language is necessary for many computational linguistics and artificial intelligence applications. In this paper, we discuss what problems researchers face with respect to this topic, focusing on the need for a well-developed annotation scheme. The desiderata for such a specification language are defined along with what representational mechanisms are required for the specification to be successful. We then review several spatial information annotation schemes, focusing on the latest version of the ISO-Space specification. Finally, we discuss where ISO-Space still falls short and propose some ways that the specification could be enriched. RÉSUMÉ. Algorithmes dans les deux la linguistique computationnelle et en intelligence artificielle nécessitent la capacité de comprendre et de raisonner sur l’information spatiale en langage naturel. Dans cet article, nous discutons de ce que les chercheurs face à des problémes en ce qui concerne ce sujet, mettant l’accent sur la nécessité d’un schéma d’annotation bien développé. Les desiderata d’un tel langage de spécification sont définies avec les mécanismes de représentation sont nécessaires pour la spécification de réussir. Nous examinons ensuite plusieurs schémas d’annotation d’information spatiale, en se concentrant sur la derniére version de la spécification ISO-Space. Enfin, nous nous demandons oú ISO-Space est encore loin et de proposer quelques façons que les spécifications peuvent être enrichis.

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عنوان ژورنال:
  • TAL

دوره 53  شماره 

صفحات  -

تاریخ انتشار 2012