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1 to 10 of 26 Results
Mar 26, 2021 - IWR Computer Graphics
Mara, Hubert, 2019, "HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection",, 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...
Feb 11, 2021 - Functional Neuroanatomy
Asan, Livia; Falfán-Melgoza, Claudia; Beretta, Carlo Antonio; Sack, Markus; Zheng, Lei; Weber-Fahr, Wolfgang; Kuner, Thomas; Knabbe, Johannes, 2021, "Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset]",, heiDATA, V1, UNF:6:t1jhJE4myjockvvIVpnP7A== [fileUNF]
This dataset accompanies the article of the same title in the journal Scientific Reports. It includes a) spreadsheets of data values for each plot in the main figures, b) all raw image data from Two-Photon in vivo microscopy (2pii) c) Custom code d) representative subsets of segm...
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",, 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...
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef, 2020, "MACE-AL-TREE",, heiDATA, V1
An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef; Steen, Julius, 2020, "MACE-AL",, heiDATA, V1
A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.
Feb 26, 2020 - Psychological Research Methods
Bucher, Alica; Voss, Andreas; Spaniol, Julia; Hische, Amelie; Sauer, Nicole, 2019, "Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]",, heiDATA, V2
Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether o...
Feb 6, 2020 - SFB 1036
Haneke, Katharina; Stoecklin, Georg, 2020, "CDK1 couples proliferation with protein synthesis [Repository Tables R1-R4]",, heiDATA, V1, UNF:6:+D39RBZQyWVzfn6Sv1nj+w== [fileUNF]
Cell proliferation exerts a high demand on protein synthesis, yet the mechanisms coupling the two processes are not fully understood. A kinase and phosphatase screen for activators of translation, based on the formation of stress granules in human cells, revealed cell cycle-assoc...
Jan 15, 2020 - GIScience and 3D Spatial Data Processing
Herfort, Benjamin; Anders, Katharina; Marx, Sabrina; Eberlein, Stefan; Höfle, Bernhard, 2020, "3D Micro-Mapping of Subsidence Stations [Source Code and Data]",, heiDATA, V1
This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the...
Jan 4, 2020 - Medical Informatics
Benning, Nils-Hendrik; Hagen, Niclas; Knaup, Petra, 2020, "Sensor-Based Measurements in Paraplegia: Classified References from a Systematic Review",, heiDATA, V1, UNF:6:f63Fk7qwB3+Tc3vOEqFdnA== [fileUNF]
This dataset contains the results (publication references) of the systematic review "Current Use of Sensor-Based Measurements for Paraplegics", presented at MIE 2020, Geneva.
Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German",, 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...
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