Abstract
We present in this paper the work that has been developed at Xerox Research Centre Europe to build a robust temporal text processor. The aim of this processor is to extract events described in texts and to link them, when possible, to a temporal anchor. Another goal is to be able to establish temporal ordering between the events expressed in texts. One of the originalities of this work is that the temporal processor is coupled with a syntactic-semantic analyzer. The temporal module takes then advantage of syntactic and semantic information extracted from text and at the same time, syntactic and semantic processing benefits from the temporal processing performed. As a result, analysis and management of temporal information is combined with other kinds of syntactic and semantic information, making possible a more refined text understanding processor that takes into account the temporal dimension.
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Hagège, C., Tannier, X. (2008). XTM: A Robust Temporal Text Processor. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2008. Lecture Notes in Computer Science, vol 4919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78135-6_20
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DOI: https://doi.org/10.1007/978-3-540-78135-6_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78134-9
Online ISBN: 978-3-540-78135-6
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