171 to 180 of 184 Results
ZIP Archive - 1.6 MB -
MD5: f928beb9f56c4a3e011941904872a4eb
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Nov 13, 2023 -
Head Selection Parsers and LSTM Labelers
ZIP Archive - 58.8 KB -
MD5: 1994899f6e96118e147ea9565193198b
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Nov 13, 2023 -
Neural PP Attachment Disambiguation Systems
ZIP Archive - 53.0 KB -
MD5: 134dd6ae443bab1531d6cab22d88b54a
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ZIP Archive - 46.4 KB -
MD5: 727dde9bcf6285b968ebbccc5459674b
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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 - 67.1 MB -
MD5: 34a0bcd15baaa3d6588e908e89b986a7
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Jul 12, 2019
Opitz, Juri, 2019, "AMR parse quality prediction [Source Code]", https://doi.org/10.11588/data/STHBGW, heiDATA, V1
Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parse Abstract (Opitz and Frank, 2019): Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition o... |
Oct 8, 2019
Ruppenhofer, Josef, 2019, "Affixoid Dataset (DE)", https://doi.org/10.11588/data/QKF4LT, heiDATA, V1, UNF:6:+MGK9lTPTXx7Rclu1BpPnw== [fileUNF]
The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. 1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -go... |
Jul 15, 2019 -
ACL word segmentation correction
Gzip Archive - 371.1 MB -
MD5: 96d089771cde56bb9ac5296189fb403b
text files |
Jul 15, 2019
Nastase, Vivi; Hitschler, Julian, 2019, "ACL word segmentation correction", https://doi.org/10.11588/data/VK99LU, heiDATA, V1
The data in this collection consists of two parallel directories, one ("raw") containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ("re-segmented") the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used... |