41 to 50 of 184 Results
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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Mar 26, 2020 -
A harmonised testsuite for social media POS tagging (DE)
Unknown - 2.9 MB -
MD5: 8bf35bfb77317b4d789fb0387454f118
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Dec 10, 2019 -
GER_SET: Situation Entity Type labelled corpus for German
ZIP Archive - 414.5 KB -
MD5: e1733e5ce7ef02577239d5a9ada0d8ba
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Sep 5, 2019 -
Sentiment Compound Data (DE)
Plain Text - 31.9 KB -
MD5: bf369686743f258705fd6cc675cfcaf0
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 16.7 KB -
MD5: fe12c4d04955984bbe5d8ea2a2cebeb9
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 27.3 KB -
MD5: 0c7cee77b6e00b86a6bb0c617e0f49c9
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 41.9 KB -
MD5: da9c01785d8534555aaa1e972776537f
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Sep 5, 2019
Wiegand, Michael; Ruppenhofer, Josef; Schulder, Marc, 2019, "Sentiment View Lexicon (EN)", https://doi.org/10.11588/data/2JK48O, heiDATA, V1
This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view. |
Sep 5, 2019
Wiegand, Michael; Bocionek, Christine; Ruppenhofer, Josef, 2019, "Sentiment Compound Data (DE)", https://doi.org/10.11588/data/LSTRK3, heiDATA, V1
This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds. |