research product . Archived binary files . 2020

Pre-trained POS tagging models for German social media

Rehbein, Ines (Leibniz Institute for the German Language); Ruppenhofer, Josef (Leibniz Institute for the German Language); Zimmermann, Victor (Department of Computational Linguistics, Heidelberg University);
  • Published: 01 Jan 2020
  • Publisher: heiDATA
<p>Pre-trained POS tagging models for</p> <ol style="list-style-type: lower-alpha;"> <li>the HunPos tagger (Hal&aacute;csy et al. 2007)</li> <li>the biLSTM-char-CRF tagger (Reimers &amp; Gurevych 2017)</li> <li>Online-Flors (Yin et al. 2015).</li> </ol> <p><strong>References:</strong></p> <p>Hal&aacute;csy, 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&rsquo;07, pages 209&ndash;212, Prague, Czech Republic.</p> <p>Reimers, N., and Gurevych, I. (2017). Reportingscore distributions makes a difference: Performancestudy ...
free text keywords: Arts and Humanities, Computer and Information Science, Corpus, German, POS tagging, POS tagging models for German social media text, Social media data, Tweets, Twitter, Twitter POS testsuite, Humanities
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Archived binary files . 2020
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