This resource is part of Deliverable 5.7 of the European Comission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). This gazetteer comprises multilingual lexicon entries used for the translation of specific IT domain expressions for Basque, Bulgarian, Czech, Dutch, Engli...
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...
Terms of Social Webs
An academic domain ontology populated using IIT Bombay organization corpus, web and the linked open data.
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. EASTIN-CL Multilingual Ontology of Assistive Technology ...
Adimen-SUMO is an off-the-shelf first-order ontology that has been obtained by reengineering out of the 88% of SUMO (Suggested Upper Merged Ontology). Adimen-SUMO can be used appropriately by FO theorem provers (like E-Prover or Vampire) for formal reasoning.
This resource comprises multilingual lexicon entries used for the translation of specific IT domain expressions. This gazetteer has been collected from four different sources: VLC, LibreOffice and KDE localization projects and IT domain Wikipedia articles.
This resource includes the distributional semantic vectors used for the replication of the TakeLab system (https://github.com/nlx-group/arct-rep-rev). The TakeLab system is an automatic classifier for the Argument Reasoning Comprehension Task (https://www.aclweb.org/anthology/S18-1121/). The ...
The resource constitues of a hierarchically-structured system of data types, which is intended to be suitable for describing the inputs and output annotation types of a wide range of natural language processing applications which operate within the UIMA Framework. It is being developed in conjunc...
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...