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Plain Text - 577.6 MB - MD5: 05934936f826113573c1fead5b8f5070
selectional preference embeddings in binary word2vec format. unlemmatized, basicDependencies.
Unknown - 353.3 MB - MD5: a05105844ee4a730714e0747b9713086
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedDependencies.
Plain Text - 811.6 MB - MD5: a29ef8d34067f5945726340138e8d1a8
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedDependencies.
Unknown - 356.8 MB - MD5: a03487f77dc5908a9930e0d228579eaf
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedPlusPlusDependencies.
Plain Text - 819.4 MB - MD5: cfec356deebf49b8069b1f7a0565afd8
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedPlusPlusDependencies.
AIPHES(Heidelberg University, Technical University of Darmstadt, HITS)
Jan 31, 2019
Data publications from the DFG-funded research training group on Adaptive Information Processing from Heterogeneous Sources (AIPHES) at the CS Department at the Technical University of Darmstadt, the Institute for Computational Linguistics at the University of Heidelberg and the...
Jan 29, 2019 - AWI Experimental Economics
Trautmann, Stefan T., 2019, "Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]", https://doi.org/10.11588/data/0HJW2A, heiDATA, V1, UNF:6:Rk3oq4gQ95R1nr48tgqV+Q== [fileUNF]
Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic deci...
Tabular Data - 5.6 KB - 6 Variables, 174 Observations - UNF:6:63afVxdRGakGF+ThHcFgXA==
experiment 1
Tabular Data - 4.3 KB - 6 Variables, 174 Observations - UNF:6:63afVxdRGakGF+ThHcFgXA==
experiment 1
Stata Syntax - 220 B - MD5: e8e830254976a337b78ca69795bc4e35
experiment 1
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