Empirical Linguistics and Computational Language Modeling (LiMo)

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81 to 90 of 184 Results

embeddings.tar.gz Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Gzip Archive - 40.5 MB - MD5: 2256cc7718eb340cdf0941dd8e41db9e Data
README.md Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Markdown Text - 173 B - MD5: b317b632c241daa4019d63ecd3f5d938 Documentation
README.md Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Markdown Text - 1.9 KB - MD5: 2c96edadd2753c89643c77d5deb5bb0b Documentation
README.md Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Markdown Text - 285 B - MD5: edae4b18adbe165fcca7405d5fd14192 Documentation
README.md Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Markdown Text - 112 B - MD5: c2e247cf74b1882b96bd8f1c78ee6808 Documentation
spmrl-marmot-bert.tar.gz Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Gzip Archive - 185.9 MB - MD5: 0a08a1c88cb621de7b45310aa33f6d3b Data
spmrl-marmot.tar.gz Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Gzip Archive - 160.6 MB - MD5: 4f957c7639f8c44720ca6b4d93cc97ca Data
spmrl-marmot.tar.gz Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings Gzip Archive - 9.4 MB - MD5: c3f35b89c8326faf44ed560581d56c27 Data
Topological Field Labeler for German 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-...
baseline-marmot.tar.gz Nov 13, 2023 - Topological Field Labeler for German Gzip Archive - 67.1 MB - MD5: 34a0bcd15baaa3d6588e908e89b986a7 Data

embeddings.tar.gz

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Gzip Archive - 40.5 MB -

Data

README.md

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Markdown Text - 173 B -

Documentation

README.md

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Markdown Text - 1.9 KB -

Documentation

README.md

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Markdown Text - 285 B -

Documentation

README.md

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Markdown Text - 112 B -

Documentation

spmrl-marmot-bert.tar.gz

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Gzip Archive - 185.9 MB -

Data

spmrl-marmot.tar.gz

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Gzip Archive - 160.6 MB -

Data

spmrl-marmot.tar.gz

Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings

Gzip Archive - 9.4 MB -

Data

Topological Field Labeler for German

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-...

baseline-marmot.tar.gz

Nov 13, 2023 - Topological Field Labeler for German

Gzip Archive - 67.1 MB -

Data

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