31 to 40 of 63 Results
Höke, Benjamin; Gauß, Florian; Peek, Christina; Stelzner, Jörg, 2019, "Lauchheim II.2. Katalog der Gräber 301–600", https://doi.org/10.11588/data/HB97MY, heiDATA, V1
Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollstän... |
Feb 7, 2019 - SFB 933 Materiale Textkulturen - Teilprojekt A01
Bigi, Francesca, 2019, "Late Antique Statue Bases of Lepcis Magna", https://doi.org/10.11588/data/GLQG7Z, heiDATA, V1, UNF:6:l+7CBMzSs5jxKnIUmRfx8Q== [fileUNF]
Interactive and searchable map of the city of Lepcis Magna, displaying the geographical distribution within the city scape of the late antique honorary and building inscriptions. When translating a multi-faceted and multi-layered reality such as that of late antique Lepcis into a... |
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... |
May 9, 2019
Data publications of the Heidelberg University Language and Cognition Lab. |
Mara, Hubert, 2019, "HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection", https://doi.org/10.11588/data/IE8CCN, heiDATA, V2
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... |
Sep 2, 2019 - AWI Experimental Economics
Oechssler, Jörg; Rau, Hannes; Roomets, Alex, 2019, "Hedging, ambiguity, and the reversal of order axiom [Dataset]", https://doi.org/10.11588/data/1XDKHZ, heiDATA, V1, UNF:6:c8rHrHnmCxS3BC4O6euGVQ== [fileUNF]
We ran experiments that gave subjects a straight-forward and simple opportunity to hedge away ambiguity in an Ellsberg-style experiment. Subjects had to make bets on the combined outcomes of a fair coin and a draw from an ambiguous urn. By modifying the timing of the draw, coin f... |
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "GermEval-2018 Corpus (DE)", https://doi.org/10.11588/data/0B5VML, heiDATA, V1
This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection. |
Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German", https://doi.org/10.11588/data/BBQYD0, heiDATA, V1
Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and... |
Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "Genre-sensitive Neural Situation Entity classifier (DE, EN)", https://doi.org/10.11588/data/XXKWU0, heiDATA, V1
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, synta... |
Feb 5, 2019 - Computer Assisted Clinical Medicine
Davids, M.; Zöllner, F.; Ruttorf, M.; Nees, F.; Flor, H.; Schumann, G.; Schad, L.; the Imagen Consortium, 2019, "Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]", https://doi.org/10.11588/data/RR5BMF, heiDATA, V1
43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra... |
