Abstract
In this paper we present a framework for the interpretation of the tense and aspect of each sentence of a text using the context provided by the previously interpreted sentences. In the proposed interpretation process the text temporal structure is captured. Each eventuality introduced by a new text, sentence is temporally anchored relatively to the previously interpreted eventualities. Whenever it is possible it is structurally2 related with some of those eventualities.
The interpretation process is driven by querying a knowledge base with the temporal predication of the new sentence's main eventuality. The answer to that query is the semantic interpretation of the sentence. It provides the additional knowledge that was not explicitly conveyed by the sentence, and the update of the text temporal structure.
This work has been supported by JNICT, FCT/UNL and Gabinete de Filosofia do Conhecimento.
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© 1993 Springer-Verlag Berlin Heidelberg
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Rodrigues, I.P., Lopes, J.G. (1993). Building text temporal structure. In: Filgueiras, M., Damas, L. (eds) Progress in Artificial Intelligence. EPIA 1993. Lecture Notes in Computer Science, vol 727. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57287-2_37
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DOI: https://doi.org/10.1007/3-540-57287-2_37
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