Abstract: | Natural language generation systems should choose nouns by searching for lexical units that (i) are known to the user, (ii) truthfully describe the object being lexicalized; (iii) convey sufficient information to fulfill the system's underlying communicative goals; and (iv) are maximal under a lexical preference function. This model of lexical choice allows a clean separation to be made between what the system knows about the object being lexicalized, and what it wishes to communicate about this object. The model also allows lexical choice to be biased towards basic-level and other preferred lexical units.
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