Abstract
In this chapter, we demonstrate with a range of examples how the representations in the domain model and in the lexicon can work together in our system architecture, and how different verbalizations can be derived from the same SitSpec. All examples discussed in Sections 9.1 through 9.3 are generated by MOOSE: The SitSpecs are instantiations of the implemented domain model, and MOOSE maps them to the sentences as shown. We start with fairly simple descriptions of STATES and then move on to more elaborate EVENTS. Section 9.4 then summarizes the features of our lexicalization approach and points out how they relate to the tasks of generating the lexical paraphrases introduced in Chapter 3.
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Notes
The lexical entry for tightly is tailored specifically to the CONNECTION-STATE in our domain; a more thorough treatment of adverbials would need abstractions similar to those we are encoding for the verbs in our approach.
In a system where SitSpecs are produced by a planning module, this would not be difficult, because the planner would have the information on what actions reverse the effects of others and thus could add the role to the concept.
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© 1999 Springer Science+Business Media New York
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Stede, M. (1999). Generating Paraphrases. In: Lexical Semantics and Knowledge Representation in Multilingual Text Generation. The Springer International Series in Engineering and Computer Science, vol 492. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5179-9_9
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DOI: https://doi.org/10.1007/978-1-4615-5179-9_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7359-9
Online ISBN: 978-1-4615-5179-9
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