Abstract
This paper describes the first prototype for building TimeML xml documents starting from raw text for Italian. First, the text is parsed with the TULE parser, a dependency parser developed at the University of Turin. The parsed text is then used as input to the TimeML rule-based module we have implemented, henceforth called as ‘The converter’. So far, the converter identifies and classifies events in the sentence. The results are rather satisfatory, and this leads us to support the use of dependency syntactic relations for the development of higher level semantic tools.
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Robaldo, L., Caselli, T., Russo, I., Grella, M. (2011). From Italian Text to TimeML Document via Dependency Parsing. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2011. Lecture Notes in Computer Science, vol 6609. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19437-5_14
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DOI: https://doi.org/10.1007/978-3-642-19437-5_14
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