Technical Description: http://qtleap.eu/wp-content/uploads/2015/05/Pilot1_technical_description.pdf http://qtleap.eu/wp-content/uploads/2015/05/TechnicalDescriptionPilot2_D2.7.pdf http://qtleap.eu/wp-content/uploads/2016/11/TechnicalDescriptionPilot3_D2.10.pdf
Technical Description: http://qtleap.eu/wp-content/uploads/2015/05/Pilot1_technical_description.pdf http://qtleap.eu/wp-content/uploads/2015/05/TechnicalDescriptionPilot2_D2.7.pdf http://qtleap.eu/wp-content/uploads/2016/11/TechnicalDescriptionPilot3_D2.10.pdf
Bulgarian-English Wikipedia WSD/NED corpus is composed of articles from the Bulgarian version of Wikipedia and their English counterparts.
This set of materials pertains to a study on the production of explicit pronouns, null pronouns, and repeated-NP anaphors, in European Portuguese. A spreadsheet containing data from 73 participants (young adults), namely, count data for instances of the different types of anaphor that occurred in...
This set of materials resulted from a study on the processing of explicit pronouns in European Portuguese. A spreadsheet containing data from 75 participants (young adults), namely, per-word reading times and accuracy data on comprehension questions, is provided. Complementary materials (Read Fir...
This set of materials pertains to a study on the processing of explicit pronouns in European Portuguese. Forty spreadsheets containing Event Related Potentials, encoded as voltage variations across 64 electrodes during 1.5 s, in two millisecond steps, are provided, 20 of which pertain to younger ...
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...
Multilingual corpora with coreferential annotation of person entities ===================================================================== In-progress corpora with coreferent annotation of person entities. Sources: journals and Wikipedia. Languages: * Portuguese: varieties from Portugal, Brazi...
This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Large cased variant was trained on the BrWaC (Brazilian Web as Corpus), a large Portuguese corpus, for 1,000,000 steps, using whole-word mask. The model is available as artifacts for TensorFlow an...
This resource contains model weights for five Transformer-based models: RoBERTa, GPT-2, T5, BART and COMET(BART). These models were implemented using HuggingFace, and fine-tuned on the following four commonsense reasoning tasks: Argument Reasoning Comprehension Task (ARCT), AI2 Reasoning Challen...