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Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines; Frank, Anette, 2023, "Head Selection Parsers and LSTM Labelers", https://doi.org/10.11588/data/BPWWJL, heiDATA, V1
This resource contains code, data and pre-trained models for various types of neural dependency parsers and LSTM labelers used in the papers: Do et al. (2017). "What Do We Need to Know About an Unknown Word When Parsing German" Do and Rehbein (2017). "Evaluating LSTM Models for G... |
Matuschik, Irenäus; Müller, Adalbert; Billamboz, André; Nelle, Oliver; Ebersbach, Renate; Schlichtherle, Helmut, 2023, "Ergänzungsmaterial zu: Siedlungsarchäologie im Alpenvorland XV. Die Pfahlbausiedlungen von Sipplingen-Osthafen am Bodensee I. Befunde und dendrochronologische Untersuchungen", https://doi.org/10.11588/data/Y3VV9L, heiDATA, V1
Im Band "Siedlungsarchäologie im Alpenvorland XV" werden die Ergebnisse der Grabungen und der dendrochronologischen Untersuchungen in der Pfahlbaustation Sipplingen-Osthafen am Bodensee vorgelegt sowie die Schlussfolgerungen zur Besiedlungsgeschichte und zur Siedlungs- und Hausba... |
DFK-Paris, 2023, "Deutsch-Französische Kunstvermittlung 1870–1960 [data and software]", https://doi.org/10.11588/data/WK9BJG, heiDATA, V1
Overview This dataset contains the data of the three databases "Deutsch-Französische Kunstvermittlung 1870-1940, Paris", "Deutsch-Französische Kunstvermittlung 1870-1940/44, Berlin" and "Deutsch-Französische Kunstvermittlung 1945-1960, Paris" as Spreadsheets and a JSON-document a... |
Feb 17, 2021 - Empirical Linguistics and Computational Language Modeling (LiMo)
Daza, Angel, 2021, "X-SRL Dataset and mBERT Word Aligner", https://doi.org/10.11588/data/HVXXIJ, heiDATA, V1
This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German translation of th... |
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1
A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017). |
Jan 23, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Daza, Angel, 2020, "Encoder-Decoder Model for Semantic Role Labeling", https://doi.org/10.11588/data/TOI9NQ, heiDATA, V1
Abstract (Daza & Frank 2019): We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need paral... |
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... |
Nov 2, 2019 - Cluster of Excellence - Asia and Europe in a Global Context
Arnold, Matthias; Heckmann, Dustin; Gietz, Peter; Frank, Anette; Ursinus, Michael; Roth, Christian; Chitavong, Arina; Hansche, Jens; Bellm, Nicolas; Dolata, Mateusz, 2021, "Turkology Annual Online – Full bibliographic records", https://doi.org/10.11588/data/GH511N, heiDATA, V1, UNF:6:aaqSnQUE8FgNgcR5FZ5pSQ== [fileUNF]
The "Turkologischer Anzeiger/Turkology Annual" (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several instit... |
Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set", https://doi.org/10.11588/data/JEESIQ, heiDATA, V1
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and... |
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... |
