Neural Dependency Parser with Biaffine Attention and BERT Embeddings

DOI

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.

Identifier
DOI https://doi.org/10.11588/data/0U6IWL
Related Identifier https://doi.org/10.18653/v1/2020.coling-main.185
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/0U6IWL
Provenance
Creator Do, Bich-Ngoc; Rehbein, Ines
Publisher heiDATA
Contributor Do, Bich-Ngoc
Publication Year 2023
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Do, Bich-Ngoc (Institute of Computational Linguistics, Heidelberg University & Leibniz Institute for German Language)
Representation
Resource Type source code; Dataset
Format application/zip; application/gzip; text/markdown
Size 47521; 42451228; 173; 1905; 285; 112; 194921795; 168449012; 9805631
Version 1.0
Discipline Humanities