UEvora Tagger is a freely available on-line service for tagging sentences written in Portuguese. This service was developed and is maintained at the University of Évora by the VISTA - Video, Image, Speech, and Text Analysis Group of the Department of Informatics.
A corpus of opinion articles annotated with arguments, following a claim-premise model.
Porttinari-base (Duran et al., 2023) is the journalistic portion of Porttinari (which stands for “PORTuguese Treebank”), which shall be a large multigenre treebank for Portuguese (Pardo et al., 2021), following the "Universal Dependencies" international grammar framework (de Marneffe et al., 2021...
The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...
The DeepBankPT (Branco et. al. 2010) is a corpus of semantic dependencies of translated texts composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. The DeepBankPT is composed of MRS and AVM representations, derivation tree, and syntactic tree with grammatical and se...
Terms from different sciences and industries - ecology, economy, law, sociology, medecine, tourism and computation.
MSTParser is a non-projective dependency parser (see McDonald et al., 2005a, 2006) that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods (see McDonald et al., 2005b). Projective parsing is also suppo...
The CINTIL-WordSenses corpus, built upon the CINTIL International Corpus of Portuguese (Barreto et al., 2006), is composed of 23,825 sentences of written Portuguese with open-class terms manually disambiguated and annotated with synset identifiers from the Portuguese MultiWordNet (MWNPT) (Pianti ...
Corpus with the transcriptions of syllogistic reasoning protocols. Written transcriptions: Verbal data (30 hours) elicited during an experiment on syllogistic reasoning (each of 27 participants x the 64 syllogistic problems): Thinking aloud task; reflexive conversation Performance data: La...
Tweet corpus