11 to 20 of 184 Results
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Tool for Extracting PP Attachment Disambiguation Dataset", https://doi.org/10.11588/data/RHD3KS, heiDATA, V1
This resource contains code to extract a PP attachment disambiguation dataset as described in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The input is in CoNLL format, and the output format is similar to the one described in de Kok et al... |
Nov 13, 2023 -
Neural Dependency Parser with Biaffine Attention
ZIP Archive - 36.0 KB -
MD5: 3e8f69e918c003c92700af524474ad31
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Oct 7, 2019
Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set", https://doi.org/10.11588/data/JEESIQ, heiDATA, V1
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and... |
Sep 5, 2019 -
Sentiment Compound Data (DE)
Adobe PDF - 126.2 KB -
MD5: 846a2849d5f0f4a119d504d79260c6fa
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Jan 23, 2020 -
Encoder-Decoder Model for Semantic Role Labeling
ZIP Archive - 42.5 MB -
MD5: 5a525ee5066a01138845a1276c110956
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Nov 13, 2023 -
Neural Dependency Parser with Biaffine Attention
Gzip Archive - 361.8 MB -
MD5: c31097376ca9d2b08c013fcdbba10c6d
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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 - 32.4 MB -
MD5: a7fa938e3000c7e0427ef3c2b3ec8d28
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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 - 68.0 MB -
MD5: a362283a76428bb053c6f59a928b3a8d
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