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 Online-Ressource | |
| Verfasst von: | Do, Bich-Ngoc [VerfasserIn]  |
| Rehbein, Ines [VerfasserIn] | |
| Titel: | Neural dependency parser with biaffine attention and BERT embeddings |
| Verf.angabe: | Bich-Ngoc Do, Ines Rehbein |
| Verlagsort: | Heidelberg |
| Verlag: | Universität |
| E-Jahr: | 2023 |
| Jahr: | 2023-11-13 |
| Umfang: | 1 Online-Ressource (9 Files) |
| Fussnoten: | Produktionsdatum: 2020 ; Gesehen am 22.11.2023 |
| Abstract: | 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 language model as input features. The pre-trained models on the German dataset of the SPMRL 2014 Shared Task used to report results in the paper are also included. |
| DOI: | doi:10.11588/data/0U6IWL |
| URL: | kostenfrei: Volltext: https://doi.org/10.11588/data/0U6IWL |
| kostenfrei: Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/0U6IWL | |
| kostenfrei: Volltext: https://github.com/bichngocdo/bert-biaffine-parser | |
| DOI: https://doi.org/10.11588/data/0U6IWL | |
| Datenträger: | Online-Ressource |
| Dokumenttyp: | Forschungsdaten |
| Datenbank | |
| Sprache: | eng |
| Bibliogr. Hinweis: | Forschungsdaten zu: Do, Bich-Ngoc, 1989 - : Parsers know best |
| Sach-SW: | Arts and Humanities |
| Computer and Information Science | |
| K10plus-PPN: | 1871579759 |
| Lokale URL UB: |  Zum Volltext |
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