---
_id: '3816'
author:
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Khalid
  full_name: Al Khatib, Khalid
  last_name: Al Khatib
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
citation:
  ama: 'Wachsmuth H, Al Khatib K, Stein B. Using Argument Mining to Assess the Argumentation
    Quality of Essays. In: <i>Proceedings of COLING 2016, the 26th International Conference
    on Computational Linguistics: Technical Papers</i>. ; 2016:1680-1691.'
  apa: 'Wachsmuth, H., Al Khatib, K., &#38; Stein, B. (2016). Using Argument Mining
    to Assess the Argumentation Quality of Essays. In <i>Proceedings of COLING 2016,
    the 26th International Conference on Computational Linguistics: Technical Papers</i>
    (pp. 1680–1691).'
  bibtex: '@inproceedings{Wachsmuth_Al Khatib_Stein_2016, title={Using Argument Mining
    to Assess the Argumentation Quality of Essays}, booktitle={Proceedings of COLING
    2016, the 26th International Conference on Computational Linguistics: Technical
    Papers}, author={Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}, year={2016},
    pages={1680–1691} }'
  chicago: 'Wachsmuth, Henning, Khalid Al Khatib, and Benno Stein. “Using Argument
    Mining to Assess the Argumentation Quality of Essays.” In <i>Proceedings of COLING
    2016, the 26th International Conference on Computational Linguistics: Technical
    Papers</i>, 1680–91, 2016.'
  ieee: 'H. Wachsmuth, K. Al Khatib, and B. Stein, “Using Argument Mining to Assess
    the Argumentation Quality of Essays,” in <i>Proceedings of COLING 2016, the 26th
    International Conference on Computational Linguistics: Technical Papers</i>, 2016,
    pp. 1680–1691.'
  mla: 'Wachsmuth, Henning, et al. “Using Argument Mining to Assess the Argumentation
    Quality of Essays.” <i>Proceedings of COLING 2016, the 26th International Conference
    on Computational Linguistics: Technical Papers</i>, 2016, pp. 1680–91.'
  short: 'H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of COLING 2016, the
    26th International Conference on Computational Linguistics: Technical Papers,
    2016, pp. 1680–1691.'
date_created: 2018-08-02T13:38:43Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C16-1158.pdf
page: 1680-1691
publication: 'Proceedings of COLING 2016, the 26th International Conference on Computational
  Linguistics: Technical Papers'
publication_identifier:
  isbn:
  - 978-3-88579-975-7
status: public
title: Using Argument Mining to Assess the Argumentation Quality of Essays
type: conference
user_id: '82920'
year: '2016'
...
---
_id: '3880'
author:
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Wachsmuth H. Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In:
    <i>Ausgezeichnete Informatikdissertationen 2015</i>. ; 2016:329-338.'
  apa: Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse.
    In <i>Ausgezeichnete Informatikdissertationen 2015</i> (pp. 329–338).
  bibtex: '@inproceedings{Wachsmuth_2016, title={Pipelines Für Effiziente und Robuste
    Ad-hoc Textanalyse}, booktitle={Ausgezeichnete Informatikdissertationen 2015},
    author={Wachsmuth, Henning}, year={2016}, pages={329–338} }'
  chicago: Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.”
    In <i>Ausgezeichnete Informatikdissertationen 2015</i>, 329–38, 2016.
  ieee: H. Wachsmuth, “Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse,” in
    <i>Ausgezeichnete Informatikdissertationen 2015</i>, 2016, pp. 329–338.
  mla: Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.”
    <i>Ausgezeichnete Informatikdissertationen 2015</i>, 2016, pp. 329–38.
  short: 'H. Wachsmuth, in: Ausgezeichnete Informatikdissertationen 2015, 2016, pp.
    329–338.'
date_created: 2018-08-11T16:16:00Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.gi.de/bitstream/handle/20.500.12116/4595/329.pdf?sequence=1
page: 329-338
publication: Ausgezeichnete Informatikdissertationen 2015
publication_identifier:
  isbn:
  - 978-3-88579-975-7
status: public
title: Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse
type: conference
user_id: '82920'
year: '2016'
...