141 to 150 of 711 Results
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. |
Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael; Bocionek, Christine; Ruppenhofer, Josef, 2019, "Sentiment Compound Data (DE)", https://doi.org/10.11588/data/LSTRK3, heiDATA, V1
This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds. |
Jan 4, 2020 - Medical Informatics
Benning, Nils-Hendrik; Hagen, Niclas; Knaup, Petra, 2020, "Sensor-Based Measurements in Paraplegia: Classified References from a Systematic Review", https://doi.org/10.11588/data/JRVJGN, heiDATA, V1, UNF:6:f63Fk7qwB3+Tc3vOEqFdnA== [fileUNF]
This dataset contains the results (publication references) of the systematic review "Current Use of Sensor-Based Measurements for Paraplegics", presented at MIE 2020, Geneva. |
Feb 23, 2016
Data of the Zafar project. Please see also http://www.ub.uni-heidelberg.de/helios/digi/heidicon_zafar.html |
Apr 17, 2023 - GIScience / Geoinformatics Research Group
Knoblauch, Steffen; Li, Hao; Lautenbach, Sven; Elshiaty, Yara; Rocha, Antônio A. de A.; Resch, Bernd; Arifi, Dorian; Jänisch, Thomas; Ivonne Morales; Zipf, Alexander, 2023, "Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data]", https://doi.org/10.11588/data/7LLXFP, heiDATA, V1
WATER TANK DETECTION MODEL OF JOURNAL PAPER (Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti) The disease transmitting mosquito Aedes Aegypti is an increasing global threat. It breeds in small artificial... |
Feb 9, 2023 - Semantische Datenmodellierung für Kunst und Architektur (arthistoricum.net)
Sobriel, Nicole, 2022, "Semantische Datenmodellierung für Werkverzeichnisse (Universitätsbibliothek Heidelberg)", https://doi.org/10.11588/data/64KP3N, heiDATA, V2
Die Semantische Datenmodellierung für Werkverzeichnisse war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes "Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und... |
Feb 10, 2022arthistoricum.net@heiDATA
Forschungsdaten zur semantischen Datenmodellierung für Kunst und Architektur (arthistoricum.net) |
Apr 4, 2022 - Semantische Datenmodellierung für Kunst und Architektur (arthistoricum.net)
Brzezicki, Sławomir; Schwarten, Martin, 2022, "Semantische Datenmodellierung für Bauwerke und ihre Ausstattung BAFO (Herder-Institut Marburg)", https://doi.org/10.11588/data/IXPRVW, heiDATA, V1
Die Semantische Datenmodellierung für Bauwerke und Ausstattungsobjekte war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes "Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dok... |
Sep 15, 2021 - AWI Experimental Economics
Sofianos, Andis, 2021, "Self-reported & Revealed Trust: Experimental Evidence [Dataset and Replication Code]", https://doi.org/10.11588/data/8XF9OT, heiDATA, V1, UNF:6:e4jYaT5oFWCog913Nf3z3A== [fileUNF]
I study the relationship between self-declared trust attitudes - using a well-recognised and established personality questionnaire - and trust choices in an induced infinitely repeated trust game. I find that self-reported trust measures are significantly related with trust choic... |
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... |