Programs & Resources
Here you can find links to publicly available programs and resources that were developed in some of our research projects.
- resources for sentiment classification learning
- various plugins for GATE
- OREX Gate plugins developed in the course of the OREX project.
- We also develop code for the Semantic Vectors package.
- RASCALLI platform and Adaptive Mind Agent (sourceforge project)
The work stems from the project RASCALLI and is currently not further maintained.
- list of German support verb constructions and figurative expressions
download German_PNV_Krenn (1.3M)
This is a gold standard of 21796 German combinations of governing verb and prepositional phrase, represented by the preposition and head noun of the PP. The PP-verb pairs were manually annotated as lexical collocations or non-collocational. A distinction is made between two subtypes of lexical collocations, support-verb constructions (Funktionsverbgefüge) and figurative expressions.
More data sets of Multi Word Expressions (including German_PNV_Krenn) can be found here.
- SentiStrength_DE download page
is a collection of German lexicon files to be used for sentiment classification with SentiStrength from the University of Wolverhampton. SentiStrength_DE is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License (CC BY-NC-SA). This licence allowes you to use the data free of charge for non-commercial purposes. You may modify and redistribute the data as long as you keep the attribution to the original in all the files, and publish your work under the same licencse.
- OFAI Multi-Modal Task Description (MMTD) Corpus
Annotated data of German multimodal task descriptions. Details about the full data set and how the data was collected can be found in Gross & Krenn 2016. For licensing and downloads see here.
- Action Verb Corpus (AVC)
Multimodal data set of simple take, put and push actions. Details about the full data set and how the data was collected can be found in Stephanie Gross, Matthias Hirschmanner, Brigitte Krenn, Friedrich Neubarth, Michael Zillich: Action Verb Corpus. LREC 2018. For licensing and downloads see here.
- Extension to the Action Verb Corpus (AVCext)
The extension to the Action Verb Corpus consists of 41 recordings conducted by 2 users experienced with the system performing the same three actions as in AVC — take (208 instances), put (208 instances), and push (91 instances). The actions were performed without any instructions. The focus of the extension is to facilitate visual action recognition. Details about the collected data can be found in Matthias Hirschmanner, Stephanie Gross, Brigitte Krenn, Friedrich Neubarth, Martin Trapp and Markus Vincze: Extension of the Action Verb Corpus for Supervised Learning. ARW 2018. For licensing and downloads see here.