Françoise Gayral

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This paper addresses the issue of defining context, and more specifically the different contexts needed for understanding a particular type of texts. The corpus chosen is homogeneous and allows us to determine characteristic properties of the texts from which certain inferences can be drawn by the reader. These characteristic properties come from the real(More)
The work reported here is the result of a study done within a larger project on the “Semantics of Natural Languages” viewed from the field of Artificial Intelligence and Computational Linguistics. In this project, we have chosen a corpus of insurance claim reports. These texts deal with a relatively circumscribed domain, that of road traffic, thereby(More)
In the general framework of natural language sentence understanding, categorization appears as useful for two main purposes: (1) categories are needed in order to account for the ability to cope with a virtually infinite set of sentences, (2) understanding implies the ability to infer; now, drawing the appropriate conclusions cannot be derived on a(More)
The paper concerns the understanding of plurals in the framework of Artificial Intelligence and emphasizes the role of time. The construction of collection(s) and their evolution across time is often crucial and has to be accounted for. The paper contrasts a"de dicto"collection where the collection can be considered as persisting over these situations even(More)
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