571 to 575 of 575 Results
Jul 24, 2014 - AWI Experimental Economics
Dominiak, Adam; Dürsch, Peter; Lefort, Jean-Philippe, 2014, "A dynamic Ellsberg urn experiment [Dataset]", https://doi.org/10.11588/data/10005, heiDATA, V2, UNF:5:6SM6f4NWdacC70zww1ngbA== [fileUNF]
Abstract Many theories of updating under ambiguity assume either dynamic consistency or consequentialism to underpin behaviorally the link between conditional and unconditional preferences. To test the descriptive validity of these rationality concepts, we conduct a dynamic exten... |
Jul 24, 2014 - AWI Experimental Economics
Noussair, Charles N.; Trautmann, Stefan T.; Kuilen, Gijs van de, 2014, "Higher Order Risk Attitudes, Demographics, and Financial Decisions [Dataset]", https://doi.org/10.11588/data/10009, heiDATA, V4, UNF:5:aqNKYHh13jVE5RIy7gdN5w== [fileUNF]
We study the prevalence of the higher order risk attitudes of prudence and temperance in an experiment with a large demographically representative sample of participants. Under expected utility, prudence and temperance are defined by a convex first, and concave second, derivative... |
Jun 18, 2014 - Statistical Natural Language Processing Group
Hieber, Felix; Schamoni, Shigehiko; Sokolov, Artem; Riezler, Stefan, 2014, "WikiCLIR: A Cross-Lingual Retrieval Dataset from Wikipedia", https://doi.org/10.11588/data/10003, heiDATA, V1
WikiCLIR is a large-scale (German-English) retrieval data set for Cross-Language Information Retrieval (CLIR). It contains a total of 245,294 German single-sentence queries with 3,200,393 automatically extracted relevance judgments for 1,226,741 English Wikipedia articles as docu... |
Jun 16, 2014 - Statistical Natural Language Processing Group
Sokolov, Artem; Jehl Laura; Hieber Felix; Ruppert, Eugen; Riezler, Stefan, 2014, "BoostCLIR: JP-EN Relevance Marked Patent Corpus", https://doi.org/10.11588/data/10001, heiDATA, V1
BoostCLIR is a bilingual (Japanese-English) corpus of patent abstracts, extracted from the MAREC patent data, and the data from the NTCIR PatentMT workshop collections, accompanied with relevance judgements for the task of patent prior-art search. Important: The English side of t... |
Jun 16, 2014 - Statistical Natural Language Processing Group
Wäschle, Katharina; Riezler, Stefan, 2014, "PatTR: Patent Translation Resource", https://doi.org/10.11588/data/10002, heiDATA, V3
PatTR is a sentence-parallel corpus extracted from the MAREC patent collection. The current version contains more than 22 million German-English and 18 million French-English parallel sentences collected from all patent text sections as well as 5 million German-French sentence pa... |