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