21 to 30 of 33 Results
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... |
Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "Genre-sensitive Neural Situation Entity classifier (DE, EN)", https://doi.org/10.11588/data/XXKWU0, heiDATA, V1
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, synta... |
Roxburgh, Marcus; Olli, Maarja, 2019, "Eyes to the North: a multi-element analysis of copper-alloy eye brooches in the eastern Baltic, produced during the Roman Iron Age [Supplement]", https://doi.org/10.11588/data/7WOCTK, heiDATA, V1, UNF:6:EnP0e/xxKuwYHp2brVn3sw== [fileUNF]
Roman Iron Age. Their forms bear strong similarities to those found much further south in Germania and the northern Roman provinces, leading to the conclusion that they originally arrived in the region as imports, perhaps by sea from an as yet undiscovered production centre in an... |
Feb 19, 2024 - SFB 933 Materiale Textkulturen - Teilprojekt C05
Philipp Friedhofen, Ludger Lieb, Michael R. Ott, Laura Velte, 2019, "Erzählte Inschriften in der Literatur des Mittelalters (Projektdatenbank)", https://doi.org/10.11588/data/0HJAJS, heiDATA, V3, UNF:6:zYyA6vs0VkcR2qiIHbGcVw== [fileUNF]
Diese Datenpublikation entstammt dem Teilprojekt C05 (»Inschriftlichkeit. Reflexionen materialer Textkultur in der Literatur des 12. bis 17. Jahrhunderts«) des Sonderforschungsbereichs 933 (»Materiale Textkulturen«, Förderzeitraum: 2011–2023). Im Rahmen des Teilprojekts wurden er... |
Data publications of the Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling” The Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling” (LiMo) is a cooperative research project between the Leibniz Institute for the German L... |
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Nastase, Vivi; Fritz, Devon; Frank, Anette, 2019, "DeModify", https://doi.org/10.11588/data/KIWEMF, heiDATA, V1
deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-cr... |
Feb 1, 2019 - SFB 933 Materiale Textkulturen - Teilprojekt B11
Sauer, Hein, 2019, "Datenpublikation zu materialen Formierungen musiktheoretischer Konzepte: Praxeologie eines Fachschrifttums im ausgehenden Mittelalter", https://doi.org/10.11588/data/MM6ZGU, heiDATA, V1
Das Projekt untersucht in der Überlieferung musiktheoretischer Texte an der Wende vom Spätmittelalter zur frühen Neuzeit die inhaltliche Konstitution, materiale Gestaltung und praktische Verwendung von Handschriften (und auch frühen Drucken): Wie wird theoretisches Wissen über Mu... |
Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "COREC – A neural multi-label COmmonsense RElation Classification system", https://doi.org/10.11588/data/E5EHBV, heiDATA, V1
We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the spec... |
Jul 12, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Opitz, Juri, 2019, "AMR parse quality prediction [Source Code]", https://doi.org/10.11588/data/STHBGW, heiDATA, V1
Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parse Abstract (Opitz and Frank, 2019): Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition o... |
