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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-... |
Nov 13, 2023 -
Topological Field Labeler for German
Gzip Archive - 67.1 MB -
MD5: 34a0bcd15baaa3d6588e908e89b986a7
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Nov 13, 2023 -
Topological Field Labeler for German
Gzip Archive - 66.3 MB -
MD5: b55949b5530dec3e4933c3efedc63600
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Nov 13, 2023 -
Topological Field Labeler for German
Gzip Archive - 40.5 MB -
MD5: 2256cc7718eb340cdf0941dd8e41db9e
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Nov 13, 2023 -
Topological Field Labeler for German
Markdown Text - 82 B -
MD5: 6f6c9146cb4bb5767db27672dcc6103f
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Nov 13, 2023 -
Topological Field Labeler for German
Markdown Text - 1.6 KB -
MD5: 2a078316007f36baa4b210e0a36b3d87
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Nov 13, 2023 -
Topological Field Labeler for German
Markdown Text - 921 B -
MD5: c4bbdbb55fad1730284e64cb7f8ef374
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Nov 13, 2023 -
Topological Field Labeler for German
Markdown Text - 191 B -
MD5: aae903db5c9404cdac6749870f60d871
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Nov 13, 2023 -
Topological Field Labeler for German
Gzip Archive - 12.0 MB -
MD5: 6f6801a3ebd9219101df9cf961cc9ced
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Nov 13, 2023 -
Topological Field Labeler for German
Gzip Archive - 11.4 MB -
MD5: f47e047cf4e5bf05276145630601fa91
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