161 to 170 of 184 Results
Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 35.2 MB -
MD5: e3f281021fdff14b33a1d6b4f352649d
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 40.3 MB -
MD5: 4e7df122e3b38de0469a229b6d080678
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 47.1 MB -
MD5: 29fe91de0ec97d2282ebdac310e66e9d
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 33.9 MB -
MD5: 1633caf7d24dbbdea70b08feebd384b4
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 63.1 MB -
MD5: 528b7723f604878c239070e73509809d
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 36.7 MB -
MD5: 72a03233b3e1cbfbc4420327a70d7f9a
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 68.0 MB -
MD5: a362283a76428bb053c6f59a928b3a8d
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 32.5 MB -
MD5: 2d06256605fad989aa18b00e46922463
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
Gzip Archive - 32.4 MB -
MD5: a7fa938e3000c7e0427ef3c2b3ec8d28
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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". |