Christine Defrise

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The data flow in natural language generation (NLG) starts with a 'world' state, represented by structures of an application program (e.g., an expert system) that has text generation needs and an impetus to produce a natural language text. The output of generation is a natural language text. The generation process involves the tasks of a) delimiting the(More)
This paper presents a detailed linguistic (syntactic, semantic and pragmatic) analysis of the French scalar adverb presque; the analysis is performed so as to be computationally relevant. Further, a methodology for describing other closed-class lexical items is suggested. Such descriptions are necessary for the support of natural language processing systems(More)
Natural language generation needs an input language whose expressive power is sufficient for generating texts with the level of quality desired by various NLP applications. In oar generator, DIOGENES(e.g., Nirenburg et al., 1989), we use the text meaning representation language TAMERLAN(Nirenburg and Defrise, 1989 and forthcoming). Expressions in this(More)
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