21 to 30 of 52 Results
Sep 9, 2019 - AWI Experimental Economics
Nikiforakis, Nikos; Oechssler, Jörg; Shah, Anvar, 2019, "Managerial bonuses and subordinate mistreatment [Dataset]", https://doi.org/10.11588/data/876SOV, heiDATA, V1, UNF:6:rgdksaMzfE0dDvw+toLLbg== [fileUNF]
Can performance bonuses increase the likelihood that managers coerce their subordinates into exerting high levels of effort when doing so promotes neither efficiency nor equity? We consider a laboratory setting in which managers compete to obtain a large bonus at the end of the e... |
Jun 13, 2020 - Statistical Natural Language Processing Group
Beilharz, Benjamin; Sun, Xin, 2019, "LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition", https://doi.org/10.11588/data/TMEDTX, heiDATA, V2
This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the... |
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "Lexicon of Abusive Words (EN)", https://doi.org/10.11588/data/MKPEYV, heiDATA, V1
This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not. |
Höke, Benjamin; Gauß, Florian; Peek, Christina; Stelzner, Jörg, 2019, "Lauchheim II.2. Katalog der Gräber 301–600", https://doi.org/10.11588/data/HB97MY, heiDATA, V1
Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollstän... |
Feb 7, 2019 - SFB 933 Materiale Textkulturen - Teilprojekt A01
Bigi, Francesca, 2019, "Late Antique Statue Bases of Lepcis Magna", https://doi.org/10.11588/data/GLQG7Z, heiDATA, V1, UNF:6:l+7CBMzSs5jxKnIUmRfx8Q== [fileUNF]
Interactive and searchable map of the city of Lepcis Magna, displaying the geographical distribution within the city scape of the late antique honorary and building inscriptions. When translating a multi-faceted and multi-layered reality such as that of late antique Lepcis into a... |
Aug 19, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Kotnis, Bhushan, 2019, "KGE Algorithms", https://doi.org/10.11588/data/CSXYSS, heiDATA, V1
An updated method for link prediction that uses a regularization factor that models relation argument types Abstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositories relies on processing the available relation instances. Knowledge repos... |
Mara, Hubert, 2019, "HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection", https://doi.org/10.11588/data/IE8CCN, heiDATA, V2
The number of known cuneiform tablets is assumed to be in the hundreds of thousands. A fraction has been published by printing photographs and manual tracings in books, which is collected by the online Cuneiform Digital Library Initiative (CDLI) catalog including some of these im... |
Sep 2, 2019 - AWI Experimental Economics
Oechssler, Jörg; Rau, Hannes; Roomets, Alex, 2019, "Hedging, ambiguity, and the reversal of order axiom [Dataset]", https://doi.org/10.11588/data/1XDKHZ, heiDATA, V1, UNF:6:c8rHrHnmCxS3BC4O6euGVQ== [fileUNF]
We ran experiments that gave subjects a straight-forward and simple opportunity to hedge away ambiguity in an Ellsberg-style experiment. Subjects had to make bets on the combined outcomes of a fair coin and a draw from an ambiguous urn. By modifying the timing of the draw, coin f... |
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "GermEval-2018 Corpus (DE)", https://doi.org/10.11588/data/0B5VML, heiDATA, V1
This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection. |
Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German", https://doi.org/10.11588/data/BBQYD0, heiDATA, V1
Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and... |
