Pre-trained POS tagging models for German social media

DOI

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 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. 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.

Identifier
DOI https://doi.org/10.11588/data/W3JBV4
Related Identifier https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/konvens18_03.pdf
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/W3JBV4
Provenance
Creator Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor
Publisher heiDATA
Contributor Rehbein, Ines
Publication Year 2020
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Rehbein, Ines (Leibniz Institute for the German Language)
Representation
Resource Type Archived binary files; Dataset
Format text/plain; application/x-bzip
Size 333; 6250351; 639; 3224
Version 1.0
Discipline Humanities
Spatial Coverage Leibniz Institute for the German Language