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ZIP Archive - 58.2 KB - MD5: 243c245db6088fe0024c94e9b503f0c3
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Markdown Text - 2.2 KB - MD5: a4c32be6d981dabdd2c2885b609042fa
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Markdown Text - 285 B - MD5: edae4b18adbe165fcca7405d5fd14192
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Markdown Text - 1.3 KB - MD5: 11774e6d9660c9b5171e707d2d149175
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Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Real-World PP Attachment Disambiguation Dataset", https://doi.org/10.11588/data/NB46XR, heiDATA, V1
This resource contains a German dataset for real-world PP attachment disambiguation. The creation, analysis and experiment results of the dataset are described in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited"
Markdown Text - 1.1 KB - MD5: 5aad6b13bbc5a247f7fd4a8757775763
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