Datasets is arff format (for Weka machine learning software) are made available to reproduce the validation experiments presented in the paper.
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. This is a parallel corpus of bilingual texts crawled fro...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Parallel aligned corpus in tmx format built from the Rom...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. A dictionary of 3281 terms relating to physics for medic...
This is a data set of Portuguese tweets labeled with the emotion conveyed in the tweet. It was gathered using a methodology similar to the one used for building the Affect in Tweets data set used in the SemEval-2018 Task 1. The data set contains 11219 tweets, each labeled with an emotion (anger,...
A corpus of opinion articles annotated with arguments, following a claim-premise model.
Multilingual (CEF languages) corpus acquired from website (https://eur-lex.europa.eu/legal-content) of the EU portal (9th July 2020). It contains 23 TMX files (EN-X, X is a CEF language) with 475,931 translation units pairs in total.
The PropBankPT (Branco et al., 2012) is a set of sentences annotated with their constituency structure and semantic role tags, composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal translated. For the creation of this PropBank we adopted a semi-automatic analysis with...
The TreeBankPT (Branco et al., 2011) is a corpus of syntactic constituency trees of the translated news composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. For the creation of this TreeBank we adopted a semi-automatic analysis with a double-blind annotation followed...
The resource is constituted by 20 thousand entries morpho-syntactically and syntactically encoded, accordingly to the parole common encoding standards.