31 to 40 of 55 Results
Sep 5, 2019 -
Sentiment Compound Data (DE)
Plain Text - 18.2 KB -
MD5: 4a17ffc27c9f3b240fbf4fe17783c89c
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Sep 2, 2019 -
Lexicon of Abusive Words (EN)
ZIP Archive - 738.4 KB -
MD5: 46f33f5b7a9c866b1a2fb6dc956b945d
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Sep 2, 2019
Wiegand, Michael, 2019, "Lexicon of Abusive Words (EN)", https://doi.org/10.11588/data/MKPEYV, heiDATA, V1
This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not. |
Aug 19, 2019 -
KGE Algorithms
ZIP Archive - 19.4 KB -
MD5: d2e8ac74e3f20d2cdec2225962c7e2f0
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Aug 19, 2019 -
Negative Sampling for Learning Knowledge Graph Embeddings
ZIP Archive - 19.4 KB -
MD5: d2e8ac74e3f20d2cdec2225962c7e2f0
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Aug 19, 2019
Kotnis, Bhushan, 2019, "KGE Algorithms", https://doi.org/10.11588/data/CSXYSS, heiDATA, V1
An updated method for link prediction that uses a regularization factor that models relation argument types Abstract (Kotnis and Nastase, 2017): Learning relations based on evidence from knowledge repositories relies on processing the available relation instances. Knowledge repos... |
Sep 5, 2019 -
Sentiment Compound Data (DE)
Plain Text - 34.6 KB -
MD5: 13ac9f60aa9ba2fbb42d0b9d2b9f6e2f
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Sep 2, 2019 -
GermEval-2018 Corpus (DE)
ZIP Archive - 14.8 MB -
MD5: 6471a35acf802906383e6d19e5241b37
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Sep 2, 2019
Wiegand, Michael, 2019, "GermEval-2018 Corpus (DE)", https://doi.org/10.11588/data/0B5VML, heiDATA, V1
This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection. |
Sep 2, 2019 -
Opinion role extractor
ZIP Archive - 20.8 MB -
MD5: 6704c06c5a8566eb05c3a8e0e0baebc2
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