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Data · dataset · 2020

Pre-trained POS tagging models for German social media

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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).

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References: Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger.

In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL’07, pages 209–212, Prague, Czech Republic. Reimers, N., and Gurevych, I. (2017). Reportingscore distributions makes a difference: Performancestudy of lstm-networks for sequence tagging.

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In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP, pp. 338–348, September 7–11, 2017, Copenhagen, Denmark. Yin, W., Schnabel, T. and Schütze, H. (2015). Online updating of word representations forpart-of-speech tagging.

In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP’15, pages 1329–1334. September 17-21, 2015, Lisbon, Portugal.

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Humanities · Social Science
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