A88-1025 details the actual process of text generation . Finally , we conclude with
A92-1006 range of tasks associated with text generation , from content selection to morphological
C00-1069 themselves be multilingual . The text generation tasks which are common to the
A97-1033 creation of a knowledge source for text generation using information extraction
A00-3001 interactions between or within other text generation modules . To generalise our claim
A92-1010 KOMET/Penman is a domain-independent text generation system based on systemic-functional
A92-1010 3 . Input to the KOMET/Penman text generation system is given in terms of the
A92-1010 information system SIC ! with the text generation capabilities of the Penman system
A88-1025 strategic component ) , • a text generation module ( tactical component )
A92-1006 Usually , the different tasks of text generation are divided among two modules
A88-1005 schemes described here are used for text generation ( not speech recognition ) in
A92-1003 Upper Model used by the PENMAN text generation system -LSB- Bateman et al. ,
A97-1039 therefore most projects that use text generation do not include the realizer in
A92-1010 , 5 Interfacing SIC ! with the Text Generation System To interface SIC ! with
A92-1006 fully-implemented , application-oriented text generation system . Joyce covers the whole
A97-1039 Fast and Portable Realizer for Text Generation Systems </title> Lavoie Rambow
A92-1010 and Thiel , 1991 ) . &#8226; the text generation component KOMET/Penman ( Bateman
A92-1006 SparcStation 1 . <title> Applied Text Generation * </title> Owen Rambow Tanya
A92-1006 way to evaluate complete applied text generation systems , since there is no canonical
A94-1001 evaluation component , ( 2 ) bilingual text generation , and ( 3 ) manipulation by users
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