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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
ZIP Archive - 58.2 KB -
MD5: 243c245db6088fe0024c94e9b503f0c3
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
Gzip Archive - 8.9 MB -
MD5: 4ac1020a50db7eb567561ac79dd7fddb
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
Gzip Archive - 9.0 MB -
MD5: 01aa0e08971e4652db3441dc8ad2f81b
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
Gzip Archive - 13.3 MB -
MD5: f1c8a15808715c67a1e00ce31060c32e
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
Gzip Archive - 14.4 MB -
MD5: 9a02480db917c11e9a17d88a2eefd0b1
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
Markdown Text - 2.2 KB -
MD5: a4c32be6d981dabdd2c2885b609042fa
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
Markdown Text - 285 B -
MD5: edae4b18adbe165fcca7405d5fd14192
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
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" |
Nov 13, 2023 -
Real-World PP Attachment Disambiguation Dataset
Markdown Text - 1.1 KB -
MD5: 5aad6b13bbc5a247f7fd4a8757775763
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