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Part 1: Document Description
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Citation |
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Title: |
Neural Dependency Parser with Biaffine Attention and BERT Embeddings |
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Identification Number: |
doi:10.11588/data/0U6IWL |
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Distributor: |
heiDATA |
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Date of Distribution: |
2023-11-13 |
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Version: |
1 |
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Bibliographic Citation: |
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Dependency Parser with Biaffine Attention and BERT Embeddings", https://doi.org/10.11588/data/0U6IWL, heiDATA, V1 |
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Citation |
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Title: |
Neural Dependency Parser with Biaffine Attention and BERT Embeddings |
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Identification Number: |
doi:10.11588/data/0U6IWL |
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Authoring Entity: |
Do, Bich-Ngoc (Institute of Computational Linguistics, Heidelberg University & Leibniz Institute for German Language) |
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Rehbein, Ines (Leibniz Institute for German Language) |
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Date of Production: |
2020 |
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Distributor: |
heiDATA |
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Access Authority: |
Do, Bich-Ngoc |
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Holdings Information: |
https://doi.org/10.11588/data/0U6IWL |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, syntactic parsing, dependency parsing |
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Topic Classification: |
Dependency Parsing |
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Abstract: |
<p>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.</p> |
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Kind of Data: |
source code |
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Kind of Data: |
pre-trained model |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Bich-Ngoc Do and Ines Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". In: <em>Proceedings of the 28th International Conference on Computational Linguistics</em>. Barcelona, Spain (Online): International Committee on Computational Linguistics, pp. 2049–2061. |
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Identification Number: |
10.18653/v1/2020.coling-main.185 |
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Bibliographic Citation: |
Bich-Ngoc Do and Ines Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". In: <em>Proceedings of the 28th International Conference on Computational Linguistics</em>. Barcelona, Spain (Online): International Committee on Computational Linguistics, pp. 2049–2061. |
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Label: |
README.md |
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Notes: |
text/markdown |
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Label: |
biaffine-parser.zip |
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Notes: |
application/zip |
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Label: |
README.md |
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Notes: |
text/markdown |
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Label: |
spmrl-marmot.tar.gz |
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Notes: |
application/gzip |
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Label: |
README.md |
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Notes: |
text/markdown |
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Label: |
spmrl-marmot-bert.tar.gz |
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Notes: |
application/gzip |
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Label: |
spmrl-marmot.tar.gz |
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Notes: |
application/gzip |
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Label: |
embeddings.tar.gz |
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Notes: |
application/gzip |
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Label: |
README.md |
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Notes: |
text/markdown |