The Ontology for the area of Nanoscience and Nanotechnology (Ontologia para a área de Nanociência e Nanotecnologia) is constituted by 511 terms of this field of knowledge. It was extracted from a corpus collected from the Web, with a total of 2.570.792 words
TeP 2.0 is a wordnet-like semantic resource for the Brazilian Portuguese language. It includes the words of the language and the synonym and antonym relations that happen among them.
The lexicon of discourse markers for European Portuguese contains 252 pairs of discourse marker/rhetorical sense. The lexicon covers conjunctions, prepositions, adverbs, adverbial phrases and alternative lexicalizations with a connective function, as in the PDTB (Prasad et al., 2008; Prasad et al...
Port-AoA Words (Cameirão & Vicente, 2010) is a lexical database containing 7 psycholinguistic characteristics (e.g. neighborhood density, written-word frequency, familiarity, imageability, etc). Standard adult vocabulary.
The resource is constituted by 20 thousand entries morpho-syntactically and syntactically encoded, accordingly to the parole common encoding standards.
LX-DSemVectors is distributional lexical semantics model, also known as word embeddings, for Portuguese (Rodrigues et al., 2016). This version, 2.2b, was trained on a corpus of 2 billion tokens and achieved state-of-the-art results on multiple lexical semantic tasks (Rodrigues & Branco, 2018). ...
ViPER is a verb lexical database with +7,000 verb senses, along with their structural, distributional, and transformational properties. The verb senses are classified based on the main syntactic properties of their construction. Around 70 formal classes have been devised. For each verb sense, its...
Portulex is a lexical database in European Portuguese that contains words from reading texts in children’s schoolbooks for reading and language instruction in Grades 1 to 4. It comprises a wordform and a lemma database. The wordform database consists of 17,062 inflected wordforms, and the lemma d...
CORDIAL-SIN is a corpus of spoken dialectal European Portuguese developed at Centro de Linguística da Universidade de Lisboa (CLUL). The materials for this corpus were drawn from the recordings of dialect speech collected by the CLUL ATLAS team as fieldwork interviews for linguistic atlases betwe...
This is a data set of Portuguese tweets labeled with the emotion conveyed in the tweet. It was gathered using a methodology similar to the one used for building the Affect in Tweets data set used in the SemEval-2018 Task 1. The data set contains 11219 tweets, each labeled with an emotion (anger,...