11 to 20 of 27 Results
Mar 26, 2020 -
Pre-trained POS tagging models for German social media
Bzip Archive - 6.0 MB -
MD5: 130e09643a6ec5b26bcdf520571f261d
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Mar 26, 2020
Rehbein, Ines; Ruppenhofer, Josef; Steen, Julius, 2020, "MACE-AL", https://doi.org/10.11588/data/C2OQN4, heiDATA, V1
A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning. |
Mar 26, 2020
Rehbein, Ines; Ruppenhofer, Josef, 2020, "MACE-AL-TREE", https://doi.org/10.11588/data/THPEBR, heiDATA, V1
An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning. |
Mar 26, 2020 -
MACE-AL-TREE
ZIP Archive - 141.9 KB -
MD5: 7de327971177c2124d8f388a19b1c4c6
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Mar 26, 2020 -
MACE-AL
ZIP Archive - 326.8 KB -
MD5: 056a7e70a8f8b6e8fa72e3eead763d39
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Mar 26, 2020 -
Pre-trained POS tagging models for German social media
Plain Text - 639 B -
MD5: 1dc8fa318270ae3612341c0065889549
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Mar 26, 2020
Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "Pre-trained POS tagging models for German social media", https://doi.org/10.11588/data/W3JBV4, heiDATA, V1
Pre-trained POS tagging models for the HunPos tagger (Halácsy et al. 2007) the biLSTM-char-CRF tagger (Reimers & Gurevych 2017) Online-Flors (Yin et al. 2015). References: Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of th... |
Mar 26, 2020 -
Pre-trained POS tagging models for German social media
Plain Text - 3.1 KB -
MD5: 1a3740097d932694d280a13ddab6f2f4
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Jan 23, 2020 -
Encoder-Decoder Model for Semantic Role Labeling
Markdown Text - 8.4 KB -
MD5: 835ab4a78a83f8bea4d55dd6caa51837
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Markdown Text - 7.8 KB -
MD5: 705940dda9344f994549436966482467
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