Computational Linguistics and Intelligent Text Processing
DOI: 10.1007/978-3-540-78135-6_20
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XTM: A Robust Temporal Text Processor

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Cited by 5 publications
(5 citation statements)
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“…This is the origin of the endothermic peak and it offers a molecular interpretation of the two phonon modes of the phenomenolog~cal theory of Choy and Young [21]. Some times ago Hagege [22] already interpreted the endothermic peak in the DSC curve of sub-T, annealed…”
mentioning
confidence: 85%
“…This is the origin of the endothermic peak and it offers a molecular interpretation of the two phonon modes of the phenomenolog~cal theory of Choy and Young [21]. Some times ago Hagege [22] already interpreted the endothermic peak in the DSC curve of sub-T, annealed…”
mentioning
confidence: 85%
“…In the case of complex, eventually ambiguous sequences, the following segmentation criteria, defined in [Hagège and Tannier 2008] …”
Section: Segmentationmentioning
confidence: 99%
“…Unfortunately, temporally anotated corpora are only available for English (namely TimeBank which is provided by the TimeML [Saurí et al 2006] effort, and they are very time-consuming to build. More recently, [Parent et al 2008] and [Hagège and Tannier 2008] presented rulebased systems annotating and normalizing temporal expressions for French and English. For Portuguese, a first step towards temporal annotation has been performed in the context of the Second HAREM competition [Mota and Santos 2008].…”
Section: Introductionmentioning
confidence: 99%
“…As in [11] we define these time points as unique and stand for corresponding points on the timeline. A temporal graph is computed within each document using Allen's temporal relations with a forward reasoning engine [12] while all instants are normalised by changing their granularity to that of a day (that granularity was selected as the most suitable according to our objectives and the data being available). Posing queries over temporally related sequences of events thus becomes possible, bearing in mind that the temporal information may be over or under-specified.…”
Section: Knowledge Integration Componentmentioning
confidence: 99%