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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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351 to 360 of 559 Results
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Dependency Parser with Biaffine Attention and BERT Embeddings", https://doi.org/10.11588/data/0U6IWL, heiDATA, V1
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 re-implementation of the neural dependency parser from Dozat and Manning (2017) and is extended to use the BERT...
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural PP Attachment Disambiguation Systems", https://doi.org/10.11588/data/DKWKGJ, heiDATA, V1
This resource contains code for different types of neural PP attachment disambiguation systems: A disambiguation system inspired by de Kok et al. (2017) but with the ranking loss function. A disambiguation system with biaffine attention similar to the neural dependency parser in...
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Rerankers for Dependency Parsing", https://doi.org/10.11588/data/NNGPQZ, heiDATA, V1
This resource contains code for different types of neural rerankers (RCNN, RCNN-shared and GCN) from the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation". We also include in this resource the pre-trained models of different rerankers on 3 lan...
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
Jan 26, 2024 - Siemens Lab
Marty-Lombardi, Sebastián; Lu, Shiying; Ambroziak, Wojciech; Schrenk-Siemens, Katrin; Wang, Jialin; DePaoli-Roach, Anna A.; Hagenston, Anna M.; Wende, Hagen; Tappe-Theodor, Anke; Simonetti, Manuela; Bading, Hilmar; Okun, Jürgen G.; Kuner, Rohini; Fleming, Thomas; Siemens, Jan, 2024, "Neuron-astrocyte metabolic coupling facilitates spinal plasticity and maintenance of inflammatory pain [data]", https://doi.org/10.11588/data/AMDH7G, heiDATA, V1
Long-lasting pain stimuli can trigger maladaptive changes in the spinal cord, reminiscent of plasticity associated with memory formation. Metabolic coupling between astrocytes and neurons has been implicated in neuronal plasticity and memory formation in the CNS, but neither its...
May 27, 2022 - Institute of Pathology Mannheim
Legnar, Maximilian; Daumke, Philipp; Hesser, Jürgen; Porubsky, Stefan; Popovic, Zoran; Bindzus, Jan Niklas; Siemoneit, Joern-Helge; Weis, Cleo-Aron, 2022, "NLP in Diagnostic Texts from Nephropathology [Research Data]", https://doi.org/10.11588/data/KS5W0H, heiDATA, V1
This data set contains all annotated topic word tables from the work "NLP in Diagnostic Texts from Nephropathology", as well as all pre-processed and tf-idf-vectorized text files. The raw texts (i.e., descriptive and diagnostic sections) are explicitly not made available, since i...
Jul 27, 2021 - Institute of Pathology Mannheim
Runz, Marlen; Weis, Cleo-Aron, 2021, "Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]", https://doi.org/10.11588/data/8LKEZF, heiDATA, V1
Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University....
Sep 30, 2019 - AWI Experimental Economics
Schmidt, Robert, 2019, "Norms in the Lab: Inexperienced versus Experienced Participants", https://doi.org/10.11588/data/SS8CBF, heiDATA, V2, UNF:6:4c/ba9USuo/U6JX/7Gh1Mw== [fileUNF]
Using coordination games, we study whether social norm perception differs between inexperienced and experienced participants in economic laboratory experiments. We find substantial differences between the two groups, both regarding injunctive and descriptive social norms in the c...
Feb 2, 2022 - Passages Online
Gunthert, André; Kirchner, Thomas; Ozdoba, Marie-Madeleine, 2022, "Nouveaux médias: mythes et expérimentations dans les arts [research data & software]", https://doi.org/10.11588/data/BJCKCB, heiDATA, V1
The dataset contains the data of the website newmedia.dfk-paris.org, that offers the enhanced publication (published 2021-09-21) Publication of the annual research theme 2019-2020 “art and new media” of the German Center for Art History - DFK Paris. Hybrid digital publication (pd...
Feb 3, 2016 - AWI Experimental Economics
Kettner, Sara Elisa; Waichman, Israel, 2016, "Old Age and Prosocial Behavior: Social Preferences or Experimental Confounds? [Dataset]", https://doi.org/10.11588/data/10067, heiDATA, V1
Experimental and field evidence indicate a positive link between social preferences and age, most strikingly between the elderly and young adults. However, it is possible that the seemingly positive link between age and preferences stems from confounds in experimental procedure....
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