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21 to 30 of 277 Results
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "A harmonised testsuite for social media POS tagging (DE)", https://doi.org/10.11588/data/KXLMHN, heiDATA, V1
A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information....
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1
A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef, 2020, "MACE-AL-TREE", https://doi.org/10.11588/data/THPEBR, 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", https://doi.org/10.11588/data/C2OQN4, heiDATA, V1
A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.
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.
Mar 10, 2020 - GIScience and 3D Spatial Data Processing
Bechtold, Sebastian; Höfle, Bernhard, 2020, "VOSTOK - The Voxel Octree Solar Toolkit", https://doi.org/10.11588/data/QNA02B, heiDATA, V1
VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the "SOLPOS.H" libra...
Mar 6, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V1, UNF:6:xIy4tRguIiz8xpg52FlxOA== [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 6 left-leaning and 4...
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]", https://doi.org/10.11588/data/4X2FXC, 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 21, 2020 - AWI Experimental Economics
Klonner, Stefan, 2020, "Equality of the Sexes and Gender Differences in Competition: Evidence from Three Traditional Societies [Supplementary Materials]", https://doi.org/10.11588/data/AKFW5U, heiDATA, V1
Can gender-balanced social norms mitigate the gender differences in competitiveness that are observed in traditional patriarchic as well as in modern societies? We experimentally assess men's and women's preferences to compete in a traditional society where women and men have sim...
Feb 11, 2020 - Psychological Research Methods
Mertens, Alica; Hepp, Johanna; Voss, Andreas; Hische, Amelie, 2020, "Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]", https://doi.org/10.11588/data/LYWYGN, heiDATA, V1
Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influenc...
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