571 to 574 of 574 Results
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... |