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
Abstract
<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 ...
Subjects
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
Communities
Digital Humanities and Cultural Heritage
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Archived binary files . 2020
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