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...
The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...
CINTIL-UPos is a corpus of Portuguese that is annotated with the Universal Part-of-Speech tagset (UPOS), related to the Universal Dependency framework, and that contains around 1 million annotated tokens. It is described in this article: António Branco, João Ricardo Silva, Luís Gomes and Jo...
Os documentos em português da Chancelaria de D. Afonso III constituem o primeiro conjunto significativo de textos em português (34 documentos que recobrem um período de 24 anos: 1255 - 1279), sendo apenas a partir de 1279, com D. Dinis (1261-1325), que se inicia o uso sistemático do português co...
A collection of language resources for the evaluation of distributional semantic models of Portuguese: LX-SimLex-999: http://metashare.metanet4u.eu/go2/lx-simlex-999 LX-Rare Word Similarity Data set: http://metashare.metanet4u.eu/go2/lx-rare-word-similarity-dataset LX-WordSim-353: h...
The DEEB Corpus contains the transcriptions of 1200 narrative texts written by pupils in their 4th, 6th and 9th year Portuguese Language exams in the public school system in Portugal.
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...
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 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...