CRPC Discourse Bank v1.0

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
CINTIL-QATreeBank

CINTIL-QATreebank is a treebank composed of Portuguese sentences that can be used to support the development of Question Answering systems. This Treebank includes 111 declarative sentences from the pre-existing CINTIL-Treebank (see Branco et al. 2011) whose syntactic structure was manually transf...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Geo-Net-PT 02

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...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese
CINTIL DependencyBank PREMIUM

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 ...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
SIMPLE Portuguese Lexicon

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

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese
Brands.Br – a Portuguese Reviews Corpus

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-WordSim-353

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-4WAnalogiesBR

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-4WAnalogies

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-AP

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese

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