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Part 1: Document Description
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Citation |
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Title: |
Pre-trained POS tagging models for German social media |
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Identification Number: |
doi:10.11588/data/W3JBV4 |
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Distributor: |
heiDATA |
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Date of Distribution: |
2020-03-26 |
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Version: |
1 |
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Bibliographic Citation: |
Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "Pre-trained POS tagging models for German social media", https://doi.org/10.11588/data/W3JBV4, heiDATA, V1 |
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Citation |
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Title: |
Pre-trained POS tagging models for German social media |
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Identification Number: |
doi:10.11588/data/W3JBV4 |
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Authoring Entity: |
Rehbein, Ines (Leibniz Institute for the German Language) |
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Ruppenhofer, Josef (Leibniz Institute for the German Language) |
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Zimmermann, Victor (Department of Computational Linguistics, Heidelberg University) |
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Date of Production: |
2018 |
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Distributor: |
heiDATA |
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Access Authority: |
Rehbein, Ines |
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Date of Deposit: |
2019-07-31 |
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Holdings Information: |
https://doi.org/10.11588/data/W3JBV4 |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, Tweets, Twitter, POS tagging, Twitter POS testsuite, Social media data, Corpus, German |
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Topic Classification: |
POS tagging models for German social media text, POS tagging |
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Abstract: |
<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> |
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Kind of Data: |
Archived binary files |
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Kind of Data: |
readme files |
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Kind of Data: |
example files |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Materials |
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<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> |
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Related Publications |
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Citation |
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Title: |
<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> |
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Identification Number: |
https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/konvens18_03.pdf |
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Bibliographic Citation: |
<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> |
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Label: |
example.txt |
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Notes: |
text/plain |
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Label: |
hunpos-social-media.model.bz2 |
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Notes: |
application/x-bzip |
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Label: |
output.txt |
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Notes: |
text/plain |
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Label: |
readme-pretrained.txt |
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Notes: |
text/plain |