A00-2003 active research topic in Natural Language Generation . Adequate referring expressions
A00-2026 trainable systems for surface natural language generation ( NLG ) . Surface NLG , for our
A92-1010 discuss the addition of natural language generation to the interaction tools provided
A92-1010 towards the integration of natural language generation to augment the interaction functionalities
A00-2034 meaning are important in natural language generation ( Stede , 1998 ) . Alternations
A00-2026 three systems for surface natural language generation that are trainable from annotated
A00-1010 dialogue and discourse management , language generation and language understanding components
A00-2026 Trainable Methods for Surface Natural Language Generation </title> Adwait Ratnaparkhi Abstract
A88-1029 posing no significant natural language generation problems . Our main concern is
A88-1006 goals are often at odds . Natural language generation is no exception . The years of
A88-1006 grammatical treatments in natural language generation . We present a method for building
A00-3001 Hua Cheng ac Abstract In natural language generation , different generation tasks
A00-1017 information that components in a natural language generation ( NLG ) system will need to communicate
A92-1036 reports on the SPOKESMAN natural language generation system , which is a domain independent
A92-1036 grammatical treatments in natural language generation . 1988 Architecture : Interfacing
A00-1009 monolingual or multilingual natural language generation ( NLG ) applications and machine
A00-1010 appropriate to the situation . 4 Language Generation The language generator takes
A88-1034 linguistic choices and gestural ones in language generation models . called Lucy ( Rich et
A00-3001 Introduction In automatic natural language generation ( NLG ) , various versions of
A88-1001 resources to a full-scale natural language generation effort . In verbose mode , a
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