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1 to 10 of 28 Results
Aug 13, 2014 - Database Systems Research Group
Strötgen, Jannik; Gertz, Michael, 2014, "WikiWarsDE Corpus", https://doi.org/10.11588/data/10026, heiDATA, V1
The WikiWarsDE corpus is a German corpus containing Wikipedia articles with annotations of temporal expressions. Its creation was motivated by the English WikiWars corpus (Mazur & Dale 2010). WikiWarsDE was developed to support research on temporal information extraction and norm... |
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... |
Aug 23, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2019, "Twitter Titling Corpus", https://doi.org/10.11588/data/IOHXDF, heiDATA, V1, UNF:6:+F3lLKziwMvjy+xyktkilw== [fileUNF]
The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variat... |
Nov 2, 2016 - Perspektive Bibliothek
Drees, Bastian, 2016, "Text und Data Mining an wissenschaftlichen Repositorien und Publikationsservern in Deutschland - Zusammenfassung der Ergebnisse einer Umfrage im Februar und März 2016", https://doi.org/10.11588/data/10090, heiDATA, V2
Es wurden die auf den Homepages angegebenen Ansprechpartner wissenschaftlicher Repositorien und Publikationsserver in Deutschland zu ihren Erfahrungen mit Text und Data Mining befragt. Die Befragung fand zwischen dem 22. und 26.2.2016 per E-Mail statt. Es wurden Ansprechpartner v... |
Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael; Ruppenhofer, Josef; Schulder, Marc, 2019, "Sentiment View Lexicon (EN)", https://doi.org/10.11588/data/2JK48O, heiDATA, V1
This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view. |
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... |
Apr 8, 2015 - IWR Computer Graphics
Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH XII 2 96", https://doi.org/10.11588/data/10048, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph... |
Apr 2, 2015 - IWR Computer Graphics
Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH XII 2 87", https://doi.org/10.11588/data/10045, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph... |
Apr 8, 2015 - IWR Computer Graphics
Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH SG 502", https://doi.org/10.11588/data/10047, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph... |
Apr 8, 2015 - IWR Computer Graphics
Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH SG 501", https://doi.org/10.11588/data/10046, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph... |