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abstract Keywords: temporal processing, temporal extraction, tense, aspect, hybrid approaches, deep linguistic processing, shallow linguistic processing The full-fledged processing of temporal information presents specific challenges. These difficulties largely stem from the fact that the temporal meaning conveyed by grammatical means interacts with many(More)
We describe the semi-automatic adaptation of a TimeML annotated corpus from English to Portuguese, a language for which TimeML annotated data was not available yet. In order to validate this adaptation, we use the obtained data to replicate some results in the literature that used the original English data. The fact that comparable results are obtained(More)
Corpora of sentences annotated with grammatical information have been deployed by extending the basic lexical and morphological data with increasingly complex information, such as phrase constituency, syntactic functions, semantic roles, etc. As these corpora grow in size and the linguistic information to be encoded reaches higher levels of sophistication,(More)
Langerhans cell histiocytosis (LCH) is a rare proliferative disorder of Langerhans cells of unknown etiology. It can involve multiple organ systems with different clinical presentation, which complicates the diagnosis. It can range from isolated to multisystem disease with different prognosis. Although common among children, liver involvement is relatively(More)
LXGram is a hand-built Portuguese computational grammar based on HPSG (syntax) and MRS (semantics). The LXGram system participated in the STEP 2008 shared task which aims at comparing semantic representations produced by NLP systems such as LXGram. Every participating team had to contribute a small text. The text that we submitted for the shared task was(More)