Empirical Linguistics and Computational Language Modeling (LiMo)

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Publication Year: 2023

1 to 10 of 99 Results

baseline-marmot.tar.gz Nov 13, 2023 - Topological Field Labeler for German Gzip Archive - 67.1 MB - MD5: 34a0bcd15baaa3d6588e908e89b986a7 Data
baseline.tar.gz Nov 13, 2023 - Topological Field Labeler for German Gzip Archive - 66.3 MB - MD5: b55949b5530dec3e4933c3efedc63600 Data
biaffine-parser.zip Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings ZIP Archive - 46.4 KB - MD5: 727dde9bcf6285b968ebbccc5459674b Code
biaffine-pp-disambiguation.zip Nov 13, 2023 - Neural PP Attachment Disambiguation Systems ZIP Archive - 53.0 KB - MD5: 134dd6ae443bab1531d6cab22d88b54a Data
bilstm-parser.zip Nov 13, 2023 - Head Selection Parsers and LSTM Labelers ZIP Archive - 58.8 KB - MD5: 1994899f6e96118e147ea9565193198b Code
cs-gcn.tar.gz Nov 13, 2023 - Neural Rerankers for Dependency Parsing Gzip Archive - 64.5 MB - MD5: c9066cb993f7f932b4dd3b2f57ab0df8
cs-rcnn-shared.tar.gz Nov 13, 2023 - Neural Rerankers for Dependency Parsing Gzip Archive - 58.0 MB - MD5: 271f2b6ad94a1b3a5b5c37db948d0b7d Data
cs-ud-kbest50-top10.tar.gz Nov 13, 2023 - Datasets for Dependency Tree Reranking Gzip Archive - 21.1 MB - MD5: ceed7b0509f5d95f9d6a5003229cf770 Data
cs-ud-kbest50.tar.gz Nov 13, 2023 - Datasets for Dependency Tree Reranking Gzip Archive - 54.3 MB - MD5: e1df54b815eec985f102d48a31426107 Data
Datasets for Dependency Tree Reranking Nov 13, 2023 - Neural Techniques for German Dependency Parsing Do, Bich-Ngoc; Rehbein, Ines, 2023, "Datasets for Dependency Tree Reranking", https://doi.org/10.11588/data/E5NOYH, heiDATA, V1 This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are described in the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation".

baseline-marmot.tar.gz

Nov 13, 2023 - Topological Field Labeler for German

Gzip Archive - 67.1 MB -

Data

baseline.tar.gz

Nov 13, 2023 - Topological Field Labeler for German

Gzip Archive - 66.3 MB -

Data

biaffine-parser.zip

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

ZIP Archive - 46.4 KB -

Code

biaffine-pp-disambiguation.zip

Nov 13, 2023 - Neural PP Attachment Disambiguation Systems

ZIP Archive - 53.0 KB -

Data

bilstm-parser.zip

Nov 13, 2023 - Head Selection Parsers and LSTM Labelers

ZIP Archive - 58.8 KB -

Code

cs-gcn.tar.gz

Nov 13, 2023 - Neural Rerankers for Dependency Parsing

Gzip Archive - 64.5 MB -

cs-rcnn-shared.tar.gz

Nov 13, 2023 - Neural Rerankers for Dependency Parsing

Gzip Archive - 58.0 MB -

Data

cs-ud-kbest50-top10.tar.gz

Nov 13, 2023 - Datasets for Dependency Tree Reranking

Gzip Archive - 21.1 MB -

Data

cs-ud-kbest50.tar.gz

Nov 13, 2023 - Datasets for Dependency Tree Reranking

Gzip Archive - 54.3 MB -

Data

Datasets for Dependency Tree Reranking

Nov 13, 2023 - Neural Techniques for German Dependency Parsing

Do, Bich-Ngoc; Rehbein, Ines, 2023, "Datasets for Dependency Tree Reranking", https://doi.org/10.11588/data/E5NOYH, heiDATA, V1

This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are described in the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation".

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