Abstract
Situation models have been developed to answer to the general problem of understanding and reasoning about texts.. The model we propose aims to represent the spatio-temporal information contained in a text. We propose the use of 2-D holophrastic matrixes to represent space, and of 1-D holophrastic matrixes to represent time. Then, the analysis of a text starts from a void scene. Each time a new object appears into the text, the system uses a prototype to create the object’s representation and then places it at the proper position (time and place) into the scene. This representation is called dynamical in that a prototype is not only a spatial extension of a given object but it also contains the behaviours associated to the object. The representation of an explicit action of the text is the application of these behaviours to the corresponding objects. Finally, the representation of a feature is the modification of an object’s extension and behaviour by the application of an operator.
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Gerard, S., Sansonnet, J.P. (2000). A Spatio-temporal Model for the Representation of Situations Described in Narrative Texts. In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_16
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DOI: https://doi.org/10.1007/3-540-45154-4_16
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