271 to 280 of 703 Results
Feb 16, 2018 - Cluster of Excellence - Asia and Europe in a Global Context
Franziska Koch, 2018, "GECCA mapped", https://doi.org/10.11588/data/6JTPWL, heiDATA, V1
GECCA mapped is a pilot project that visualizes and provides geo-referential metadata of sixty exhibition entries collected in the larger GECCA data base (more than 700 entries). The exhibition sample is limited to Western, i.e. Western European and Northern American group exhibi... |
Aug 20, 2020 - Psychological Research Methods
Mertens, Alica; von Krause, Mischa; Denk, Alexandra; Heitz, Theresia, 2020, "Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad", https://doi.org/10.11588/data/KPY585, heiDATA, V1, UNF:6:m/fJhuHUlo37Y+XZGy2i2w== [fileUNF]
Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the... |
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... |
Dec 7, 2023
Data publications of the Geo- and Cosmochemistry Research Group at the Institute of Earth Science of Heidelberg University. |
Feb 23, 2021
Open research data from the research group "Geomorphology, Soil Geography and Geoarchaeology" at the Institute of Geography of Heidelberg University. |
Dec 17, 2015 - Universitätsbibliothek Heidelberg
Antretter, Marlene; Eller, Dirk; Elstermann, Hannes; Geissler, Stefan; Grüning, Simon; Horn, Sebastian; Kohler, Matthias; Kuck, Kevin; Lingnau, Anna; Nozik, Alexandra; Odenwald, Jakob; Rieger, Felix; Schubert, Christopher; Wenze, Felix; Zimmermann, Karin, 2015, "Georeferencing of the "Lorscher Codex"", https://doi.org/10.11588/data/10063, heiDATA, V1
Collection of historic place names from the Lorscher Codex (1176-1200). Most of the (deserted) villages and cities named in the codex had been in possession of Abbey Lorsch, many of them are mentioned for the first time here. In the project the property should be visualised in mo... |
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... |
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef, 2020, "German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)", https://doi.org/10.11588/data/ZHI94V, heiDATA, V1
Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions. |
Aug 15, 2023 - NCT - Section of Translational Medical Ethics
Anger, Michael; Wendelborn, Christian; Schickhardt, Christoph, 2023, "German funders' data sharing policies - A qualitative interview study [interview excerpts]", https://doi.org/10.11588/data/FJAG0X, heiDATA, V1
Background Data sharing is commonly seen as beneficial for science, but is not yet common practice. Research funding agencies are known to play a key role in promoting data sharing, but German funders’ data sharing policies appear to lag behind in international comparison. This s... |
Jan 20, 2021 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V2, UNF:6:14BxjwJS7Q3mfI6ei7iBBw== [fileUNF]
The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a... |
