LX-Stopwords resource is a manual list of words from Portuguese composed by 2631 words of 51 types. The words are grouped in three big classes, arranged according to their morpho-syntactic category and inflectional feature value (closed classes, open classes, and multi-word units). This list was ...

Geo-Net-PT 02 is a public Geospatial Ontology of Portugal (see Chaves et al., 2007), a computational resource (see Rodrigues et al., 2006 and Rodrigues, 2009) for applications demanding geographic information about Portugal, and contains 701,209 concepts stored in a GKB system, most of them admin...

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

The resource is constituted by 20 thousand entries morpho-syntactically and syntactically encoded, accordingly to the parole common encoding standards.

LX-Abbreviations resource is a collection of abbreviations of different types from European Portuguese composed by 208 words. Each type of abbreviation is manually divided and annotated with grammatical categories, gender and number, and, finally, with the respective abbreviations.

The SIMPLE Portuguese Lexicon is constituted by 10,438 entries semantically encoded, accordingly to the parole common encoding standards.

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 test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...

The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...

LX-AP was created from the translation of Almuhareb-Poesio (ap) benchmark (Almuhareb and Poesio, 2005). The original data set was created considering three aspects: POS, frequency and ambiguity. It contains 402 names from 21 categories of WordNet, with 13 to 21 names from each one of those categ...