Pre-trained POS tagging models for German social mediadoi:10.11588/data/W3JBV4heiDATA2020-03-261Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "Pre-trained POS tagging models for German social media", https://doi.org/10.11588/data/W3JBV4, heiDATA, V1Pre-trained POS tagging models for German social mediadoi:10.11588/data/W3JBV4Rehbein, InesRuppenhofer, JosefZimmermann, Victor2018Leibniz Institute for the German LanguageheiDATARehbein, Ines2019-07-31Arts and HumanitiesComputer and Information ScienceTweetsTwitterPOS taggingTwitter POS testsuiteSocial media dataCorpusGermanPOS tagging models for German social media textPOS tagging<p>Pre-trained POS tagging models for</p>
<ol style="list-style-type: lower-alpha;">
<li>the HunPos tagger (Halácsy et al. 2007)</li>
<li>the biLSTM-char-CRF tagger (Reimers & Gurevych 2017)</li>
<li>Online-Flors (Yin et al. 2015).</li>
</ol>
<p><strong>References:</strong></p>
<p>Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In <em>Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions</em>, ACL’07, pages 209–212, Prague, Czech Republic.</p>
<p>Reimers, N., and Gurevych, I. (2017). Reportingscore distributions makes a difference: Performancestudy of lstm-networks for sequence tagging. In <span style="left: 171.017px; top: 1330.24px; font-size: 14.944px; font-family: sans-serif; transform: scaleX(0.931795);">Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</span>, EMNLP, pp. 338–348, <span style="left: 200.077px; top: 1344.41px; font-size: 14.944px; font-family: sans-serif; transform: scaleX(0.915778);">September 7–11, 2017, Copenhagen, Denmark.</span></p>
<p>Yin, W., Schnabel, T. and Schütze, H. (2015). Online updating of word representations forpart-of-speech tagging. In <em>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</em>, EMNLP’15, pages 1329–1334. September 17-21, 2015, Lisbon, Portugal.</p>Archived binary filesreadme filesexample files<p>A harmonised testsuite for social media POS tagging (DE)<br /><a href="https://doi.org/10.11588/data/KXLMHN">https://doi.org/10.11588/data/KXLMHN</a> </p><p>Rehbein, I., Ruppenhofer, J., and Zimmermann, V. (2018). A harmonised testsuite for pos tagging of German social media data. In <em>Proceedings of the Conference on Natural Language Processing</em>, KONVENS 2018, pages 18–28, September 19-21, 2018, Vienna, Austria.</p>https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/konvens18_03.pdf<p>Rehbein, I., Ruppenhofer, J., and Zimmermann, V. (2018). A harmonised testsuite for pos tagging of German social media data. In <em>Proceedings of the Conference on Natural Language Processing</em>, KONVENS 2018, pages 18–28, September 19-21, 2018, Vienna, Austria.</p>example.txttext/plainhunpos-social-media.model.bz2application/x-bzipoutput.txttext/plainreadme-pretrained.txttext/plain