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...

CINTIL DependencyBank PREMIUM is a corpus of Portuguese utterances manually annotated with the representation of grammatical dependency relations and the information of part-of-speech, inflection and lemmas. It is being developed and maintained at the University of Lisbon. The current version is ...

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 ...

The CINTIL-NamedEntities corpus, built upon the CINTIL International Corpus of Portuguese (Barreto et al., 2006), is composed of 30,493 sentences of written Portuguese with named entities manually disambiguated and annotated with links to appropriate pages in the Portuguese Dbpedia (Lehmann et al...

Distributional semantic representation of Portuguese words (aka word embeddings).

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...

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-ESSLLI 2008 data set was created from the ESSLLI 2008 Distributional Semantic Workshop shared-task set, made of 44 concrete nouns grouped in 6 semantic categories (4 animate and 2 inanimate). The grouping is done in an hierarchical way following the top 10 properties from the McRae (2005) ...

The LX-Battig was created from Battig test.set (Baroni et al., 2010). This data set has 83 concrete concepts of the following 10 categories: mammals, birds, fish, vegetables, fruit, trees, vehicles, clothes, tools and kitchenware. The categories names and the concepts were translated by two trans...