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31 to 40 of 603 Results
experiment2_stata_do.do
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
Stata Syntax - 406 B - MD5: eb347d9aea4caa1851e92c9ab15f0f91
experiment 2
experiment3_raw.tab
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
Tabular Data - 8.3 KB - 12 Variables, 164 Observations - UNF:6:Owv8E7mpExOC+IAXO99g4g==
experiment 3
experiment3_stata_data.tab
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
Tabular Data - 4.5 KB - 12 Variables, 164 Observations - UNF:6:Owv8E7mpExOC+IAXO99g4g==
experiment 3
experiment3_stata_do.do
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
Stata Syntax - 357 B - MD5: 67822398b3959bc141a16b63e039ccf3
experiment 3
experiment4_instructions_dutch.docx
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
MS Word - 13.7 KB - MD5: 2b04dd80c963e649bbfa3f1fcbaa8d34
experiment 4
experiment4_stata_data.tab
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
Tabular Data - 5.8 KB - 12 Variables, 211 Observations - UNF:6:JuZOKZZeN2fek6VYn5WhMQ==
experiment 4
experiment4_stata_do.do
Jan 29, 2019 - Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]
Stata Syntax - 751 B - MD5: 47d1533a716b0d174da3621bc6714903
experiment 4
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...
Selectional Preference Embeddings (EMNLP 2017)
Jan 31, 2019 - AIPHES
Heinzerling, Benjamin, 2019, "Selectional Preference Embeddings (EMNLP 2017)", https://doi.org/10.11588/data/FJQ4XL, heiDATA, V1
Joint embeddings of selectional preferences, words, and fine-grained entity types. The vocabulary consists of: verbs and their dependency relation separated by "@", e.g. "sink@nsubj" or "elect@dobj" words and short noun phrases, e.g. "Titanic" fine-grained entity types using the...
dep.lemma.lower.basicDependencies.d100.min100.i10.w2v.mu_postproc.bin
Jan 31, 2019 - Selectional Preference Embeddings (EMNLP 2017)
Unknown - 223.4 MB - MD5: 1c19a7f500bb67d08bd7878fa156504c
selectional preference embeddings in binary word2vec format. lemmatized, basicDependencies.
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