Knowledge Representation in the TRAINS System

  • M. Poesio, G. Fergusony, +5 authors L. K. Schuberty
  • Published 1994


The long term goal of the TRAINS project is to develop an intelligentplanning assistant that is conversationally proficient in natural language. The TRAINS system helps a user construct and monitor plans about a railroad freight system; their interaction takes place in natural language. The representational needs of a system like TRAINS include representing lexical meaning, dealing with the problem of ambiguity, make use of information about context, and finding a connection between the content of the current utterance and the plan being jointly developed by system and user. The goal of the paper is to describe how TRAINS-93, the latest prototype of TRAINS, deals with these issues.

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@inproceedings{Poesio1994KnowledgeRI, title={Knowledge Representation in the TRAINS System}, author={M. Poesio and G. Fergusony and P. Heemany and C. H. Hwangy and D. R. Traumy and J. F. Alleny and Nora Martiny and L. K. Schuberty}, year={1994} }