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21 to 30 of 60 Results
Jul 28, 2015 - IWR Computer Graphics
Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012", https://doi.org/10.11588/data/10058, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph...
Apr 16, 2015 - IWR Computer Graphics
Krömker, Susanne; Mara, Hubert, 2015, "Rektorbuch RA 653 - University of Heidelberg", https://doi.org/10.11588/data/10054, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph...
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "Pre-trained POS tagging models for German social media", https://doi.org/10.11588/data/W3JBV4, heiDATA, V1
Pre-trained POS tagging models for the HunPos tagger (Halácsy et al. 2007) the biLSTM-char-CRF tagger (Reimers & Gurevych 2017) Online-Flors (Yin et al. 2015). References: Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of th...
Jun 16, 2014 - Statistical Natural Language Processing Group
Wäschle, Katharina; Riezler, Stefan, 2014, "PatTR: Patent Translation Resource", https://doi.org/10.11588/data/10002, heiDATA, V3
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 parallel sentences collected from all patent text sections as well as 5 million German-French sentence pa...
Oct 26, 2020 - OwnReality. To Each His Own Reality
Schepp, Moritz, 2020, "OwnReality API-only web application", https://doi.org/10.11588/data/KZHLS8, heiDATA, V1
This dataset contains the data platform for the research project "OwnReality. To Each His Own Reality". During the course of the project, data was gathered and entered into a database. In general, this platform allows the integration of that data into web based systems such as co...
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "Opinion role extractor", https://doi.org/10.11588/data/3W7AQP, heiDATA, V1
System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac
Aug 19, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Kotnis, Bhushan, 2019, "Negative Sampling for Learning Knowledge Graph Embeddings", https://doi.org/10.11588/data/YYULL2, heiDATA, V1
Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure o...
Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Marasović, Ana, 2019, "Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]", https://doi.org/10.11588/data/ERDJDI, heiDATA, V1
Abstract Modal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based cl...
Nov 2, 2016 - Perspektive Bibliothek
Boiger, Wolfgang, 2016, "MARC21-MARCXML-Konverter", https://doi.org/10.11588/data/10091, heiDATA, V1
Quellcode für eine Perl-Implementierung eines MARC21-MARCXML-Konverters.
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