The Brands.Br corpus was built from a fraction of B2W-Reviews01 corpus. We use a set of 252 samples selected by B2W to be enriched. In Brands.Br corpus we want to solve two main challenges in product reviews corpus. The first: it is very common to find customer reviews referring to distinct thing...
Royal inquiries of 1258 (primarily published in the Portugaliae Monumenta Historica).
The LX-WordSim-353 was created from WordSim-353 (Agirre et al., 2009). As the name suggests, this data set contains 353 pairs of words. Both words in each pair can have different morphosyntactic categories. The data set is made of nouns, adjectives, verbs and named entities, and has no multiwords...
The LX-SimLex-999 was created from SimLex-999 (Hill et al., 2015) which, in turn, was based in the University of South Florida Free Association Database (USF) (Nelson et al., 2014). There were strict guidelines to create SimLex-999. Both words in each pair have the same morphosyntactic category ...
The LX-Rare Word Similarity Data set was created from Stanford Rare Word (RW) Similarity data set (Luong et al., 2013). This list contains 2 034 words (1 017 pairs of words). All the words were extracted from Wikipedia and from WordNet (Miller, 1995), a lexical database where the concepts are gro...
This dataset is a collection of dialogues extracted from the Portugal subreddit with RDET (Reddit Dataset Extraction Tool). It is composed of around 58,964,715 tokens in 218,550 dialogues.
Hesita-POS is an annotaded corpus. Tv News.
EmoVoicePort, Emotional Vocalization Corpus (see Lima, Castro, & Scott, 2013) is a validated set of nonverbal vocalizations that portray four positive emotions (achievement/triumph, amusement, sensual pleasure, relief) and four negative ones (anger, disgust, fear, sadness). The vocalizations (n =...
Arquivo Dialetal CLUP - POS is a speech corpus with approximately 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic transcription, POS.
CIPM-POS is a set of historical, religious, notarial, literary texts in prose and verse, written is medieval portuguese. It contains around 88000 words.