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From Logic to Grammars via Types
Daniela Dudau-Sofronie,
Isabelle Tellier,
and Marc Tommasi.
In Lubos Popelínský
and Miloslav Nepil, editors,
Proceedings of the 3d Workshop on Learning Language in Logic, pages
35--46, Strasbourg, France, September 2001.
Abstract
This paper investigates the inference of Categorial Grammars from a new
perspective. To learn such grammars, Kanazawa's approach consists in
providing, as input, information about the structure of derivation trees in
the target grammar. But this information is hardly arguable as relevant data
from a psycholinguistic point of view. We propose instead to provide
information about the semantic type associated with the words used. These
types are considered as general semantic knowledge and their availability is
argued. A new learning algorithm from types is given and discussed.
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