This inventory contains a set of terms that are relevant to the study of medical history. The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,0...
This is a wordlist which was created from 32 Maltese fiction books. These texts were originally in PDF file format and were converted to txt format. In the next step, the text file was tokenized and a frequency count was performed on the separate tokens. The resulting list (with about 50,000 entr...
The purpose of the tool is to identify gene and protein names in biomedical text. The tool is provided as a UIMA component, which forms part of the in-built library of components provided with the U-Compare platform for building and evaluating text mining workflows. The U-Compare Workbench pr...
HuggingFace (pytorch) pre-trained roBERTa model in Portuguese, with 6 layers and 12 attention-heads, totaling 68M parameters. Pre-training was done on 10 million Portuguese sentences and 10 million English sentences from the Oscar corpus. Please cite: Santos, Rodrigo, João Rodrigues, Antóni...
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
The SIMPLE Portuguese Lexicon is constituted by 10,438 entries semantically encoded, accordingly to the parole common encoding standards.
SemLink is a project whose aim is to link together different lexical resources via a set of mappings. These mappings will make it possible to combine the different information provided by these different lexical resources for tasks such as inferencing. In the current release, two mappings are ava...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies paragraphs in plain text Tools in workflow: MLRS Paragraph Splitter (University of Malta) NOTE: The licence provided covers the web service only. Tools used to create the workf...
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...
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