1 to 10 of 35 Results
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Topological Field Labeler for German", https://doi.org/10.11588/data/YYNQFF, heiDATA, V1
This resource contains the code of the topological labeler used in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". For this tool, labeling topological field is formulated as a sequence labeling task. We also include in this resource two pre-... |
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Tool for Extracting PP Attachment Disambiguation Dataset", https://doi.org/10.11588/data/RHD3KS, heiDATA, V1
This resource contains code to extract a PP attachment disambiguation dataset as described in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The input is in CoNLL format, and the output format is similar to the one described in de Kok et al... |
Jan 20, 2023 - Quartär – Internationales Jahrbuch zur Erforschung des Eiszeitalters und der Steinzeit
Sauer, Florian, 2023, "Supplementary Material zu: Geomorphological Diversity and Habitat Variability. A Model of Late Palaeolithic Catchment Composition in Northern Bavaria / Geomorphologische Diversität und Habitatvariabilität. Ein Modell der spätpaläolithischen Catchment in Nordbayern", https://doi.org/10.11588/data/DKG1AI, heiDATA, V1, UNF:6:nNpRF1jNy3WGg6dHSLdQoQ== [fileUNF]
Due to the lack of adequate data, the environmental and bioeconomic framework of archaeological sites often cannot be investigated. This situation is visible with the Late Palaeolithic in Southern Germany, which is typically represented by surface collections that do not provide... |
Graf, Emily, 2023, "Supplementary Material to: "Lu Xun on Display: Memory, Space and Media in the Making of World Literary Heritage or The Materiality of World Literary Heritage: Memory, Space and Media in the Making of Lu Xun"", https://doi.org/10.11588/data/82ZUXN, heiDATA, V1
This is the supplementary material to my doctoral thesis "Lu Xun on Display: Memory, Space and Media in the Making of World Literary Heritage or The Materiality of World Literary Heritage: Memory, Space and Media in the Making of Lu Xun". It contains the full set of images referr... |
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Real-World PP Attachment Disambiguation Dataset", https://doi.org/10.11588/data/NB46XR, heiDATA, V1
This resource contains a German dataset for real-world PP attachment disambiguation. The creation, analysis and experiment results of the dataset are described in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited" |
Dieckmann, Lisa; Koch, Jörg; Peter, Sven; Schepp, Moritz; Atanassov, Mihail; Baehren, Lars; Beßler, Sebastian; Bodo Block, Thomas; Eilermann, Arne; Wille, Jens, 2023, "prometheus Source Code v4.0", https://doi.org/10.11588/data/SY7UKE, heiDATA, V1
The prometheus digital image archive software is the driving force behind the prometheus image archive. It's being developed since late fall of 2006, on top of the Ruby on Rails framework. It is Free Software, released under the terms of the GNU Affero General Public License. |
Dec 11, 2023 - Institut für Islamwissenschaft
SSKVO, Islamwissenschaft, 2023, "Ottoman Waqf Bibliography", https://doi.org/10.11588/data/RXIDES, heiDATA, V1
Osmanische Waqf-Bibliographie OWB Die Osmanische Waqf-Bibliographie dient als Hilfsmittel für Forschende, die zum Thema waqf im Osmanischen Reich arbeiten, d. h. in Vorderasien, Nordafrika und Südosteuropa. Sie gibt eine Übersicht über die enorme Menge an Literatur dazu und berüc... |
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Rerankers for Dependency Parsing", https://doi.org/10.11588/data/NNGPQZ, heiDATA, V1
This resource contains code for different types of neural rerankers (RCNN, RCNN-shared and GCN) from the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation". We also include in this resource the pre-trained models of different rerankers on 3 lan... |
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural PP Attachment Disambiguation Systems", https://doi.org/10.11588/data/DKWKGJ, heiDATA, V1
This resource contains code for different types of neural PP attachment disambiguation systems: A disambiguation system inspired by de Kok et al. (2017) but with the ranking loss function. A disambiguation system with biaffine attention similar to the neural dependency parser in... |
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Dependency Parser with Biaffine Attention and BERT Embeddings", https://doi.org/10.11588/data/0U6IWL, heiDATA, V1
This resource contains the code of the dependency parser used in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The parser is a re-implementation of the neural dependency parser from Dozat and Manning (2017) and is extended to use the BERT... |
