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-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...
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 ...
The CRPC Discourse Bank is labeled for discourse relations (also referred to as rhetorical relations or coher- ence relations), such as cause and condition, that hold between two spans of text and contribute to ensure the overall cohesion and coherence of the text. The scheme follows the principl...
The PAROLE Portuguese Corpus – tagged subset contains 250.000 tokens and is a subset of the PAROLE Portuguese Corpus of 3 million running words of European Portuguese. The corpus was classified and encoded according to the common core parole encoding standard. The tagged subset reproduces appro...
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...
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.
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...