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IKAT-DE
A corpus consisting of high-quality human annotations of missing and implied information in argumentative texts (German version). The data is further annotated with semantic... -
Opinion role extractor
System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text -
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC -
Sentiment View Lexicon (EN)
This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is... -
MARC21-MARCXML-Konverter
Quellcode für eine Perl-Implementierung eines MARC21-MARCXML-Konverters. -
Text und Data Mining an wissenschaftlichen Repositorien und Publikationsserve...
Es wurden die auf den Homepages angegebenen Ansprechpartner wissenschaftlicher Repositorien und Publikationsserver in Deutschland zu ihren Erfahrungen mit Text und Data Mining... -
Source Code, Data and Additional Material for the Thesis: "Identification of ...
This dataset provides the code and the data sets used in the PHD thesis "Identification of Software Features in Issue Tracking System Data" as well as the files that represent... -
Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Rektorbuch RA 653 - University of Heidelberg
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Seal of the University of Heidelberg - Siegel UAH XII 2 96
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Seal of the University of Heidelberg - Siegel UAH SG 502
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Seal of the University of Heidelberg - Siegel UAH SG 501
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Seal of the University of Heidelberg - Siegel UAH XII 2 87
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Seal of the University of Heidelberg - Siegel UAH SG 11
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
WikiWarsDE Corpus
The WikiWarsDE corpus is a German corpus containing Wikipedia articles with annotations of temporal expressions. Its creation was motivated by the English WikiWars corpus (Mazur... -
WikiCLIR: A Cross-Lingual Retrieval Dataset from Wikipedia
WikiCLIR is a large-scale (German-English) retrieval data set for Cross-Language Information Retrieval (CLIR). It contains a total of 245,294 German single-sentence queries with... -
PatTR: Patent Translation Resource
PatTR is a sentence-parallel corpus extracted from the MAREC patent collection. The current version contains more than 22 million German-English and 18 million French-English... -
BoostCLIR: JP-EN Relevance Marked Patent Corpus
BoostCLIR is a bilingual (Japanese-English) corpus of patent abstracts, extracted from the MAREC patent data, and the data from the NTCIR PatentMT workshop collections,... -
Seal of the University of Heidelberg - Siegel UAH SG 5
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects.... -
Neural Dependency Parser with Biaffine Attention and BERT Embeddings
This resource contains the code of the dependency parser used in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The parser is a...