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1 to 10 of 36 Results
IWR Computer Graphics(Heidelberg University - Interdisciplinary Center for Scientific Computing)
Apr 2, 2015
This Dataverse contains computer graphics related research data of the Interdisciplinary Center for Scientific Computing at Heidelberg University.
Cluster of Excellence - Asia and Europe in a Global Context(Heidelberg University - Cluster of Excellence "Aisa and Europe in a Global Context")
Cluster of Excellence - Asia and Europe in a Global Context logo
Dec 8, 2015
This Dataverse contains research data of the Cluster of Excellence "Asia and Europe in a Global Context" at Heidelberg University.
arthistoricum.net@heiDATA(Fachinformationsdienst Kunst · Fotografie · Design)
arthistoricum.net@heiDATA logo
Jul 18, 2018
Datenpublikationen des Fachinformationsdienst Kunst - Fotografie - Design: arthistoricum.net
Jun 6, 2019 - IWR Computer Graphics
Mara, Hubert, 2019, "HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection", https://doi.org/10.11588/data/IE8CCN, heiDATA, V1
The number of known cuneiform tablets is assumed to be in the hundreds of thousands. A fraction has been published by printing photographs and manual tracings in books, which is collected by the online Cuneiform Digital Library Initiative (CDLI) catalog including some of these im...
Empirical Linguistics and Computational Language Modeling (LiMo)(Department of Computational Linguistics of Heidelberg University and Leibniz Institute for the German Language)
Empirical Linguistics and Computational Language Modeling (LiMo) logo
Jul 12, 2019
Data publications of the Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling” The Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling” (LiMo) is a cooperative research project between the Leibniz Institute for the German L...
Jul 12, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Opitz, Juri, 2019, "AMR parse quality prediction [Source Code]", https://doi.org/10.11588/data/STHBGW, heiDATA, V1
Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parse Abstract (Opitz and Frank, 2019): Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition o...
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Nastase, Vivi; Fritz, Devon; Frank, Anette, 2019, "DeModify", https://doi.org/10.11588/data/KIWEMF, heiDATA, V1
deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-cr...
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Nastase, Vivi; Hitschler, Julian, 2019, "ACL word segmentation correction", https://doi.org/10.11588/data/VK99LU, heiDATA, V1
The data in this collection consists of two parallel directories, one ("raw") containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ("re-segmented") the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used...
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Nastase, Vivi; Kotnis, Bhushan, 2019, "Abstract graphs, abstract paths, grounded paths for Freebase and NELL", https://doi.org/10.11588/data/AVLFPZ, heiDATA, V1
We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the...
Aug 19, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Kotnis, Bhushan, 2019, "KGE Algorithms", https://doi.org/10.11588/data/CSXYSS, heiDATA, V1
An updated method for link prediction that uses a regularization factor that models relation argument types Abstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositories relies on processing the available relation instances. Knowledge repos...
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