---
_id: '3774'
author:
- first_name: Alexander
  full_name: Bondarenko, Alexander
  last_name: Bondarenko
- first_name: Lukas
  full_name: Gienapp, Lukas
  last_name: Gienapp
- first_name: Maik
  full_name: Fröbe, Maik
  last_name: Fröbe
- first_name: Meriem
  full_name: Beloucif, Meriem
  last_name: Beloucif
- first_name: Yamen
  full_name: Ajjour, Yamen
  last_name: Ajjour
- first_name: Alexander
  full_name: Panchenko, Alexander
  last_name: Panchenko
- first_name: Chris
  full_name: Biemann, Chris
  last_name: Biemann
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Martin
  full_name: Potthast, Martin
  last_name: Potthast
- first_name: Matthias
  full_name: Hagen, Matthias
  last_name: Hagen
citation:
  ama: 'Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument
    Retrieval. In: <i>Proceedings of the 43rd Annual European Conference on Information
    Retrieval Research</i>. ; 2021:384-395.'
  apa: 'Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko,
    A., … Hagen, M. (2021). Overview of Touché 2021: Argument Retrieval. In <i>Proceedings
    of the 43rd annual European Conference on Information Retrieval Research</i> (pp.
    384–395).'
  bibtex: '@inproceedings{Bondarenko_Gienapp_Fröbe_Beloucif_Ajjour_Panchenko_Biemann_Stein_Wachsmuth_Potthast_et
    al._2021, title={Overview of Touché 2021: Argument Retrieval}, booktitle={Proceedings
    of the 43rd annual European Conference on Information Retrieval Research}, author={Bondarenko,
    Alexander and Gienapp, Lukas and Fröbe, Maik and Beloucif, Meriem and Ajjour,
    Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth,
    Henning and Potthast, Martin and et al.}, year={2021}, pages={384–395} }'
  chicago: 'Bondarenko, Alexander, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen
    Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2021: Argument
    Retrieval.” In <i>Proceedings of the 43rd Annual European Conference on Information
    Retrieval Research</i>, 384–95, 2021.'
  ieee: 'A. Bondarenko <i>et al.</i>, “Overview of Touché 2021: Argument Retrieval,”
    in <i>Proceedings of the 43rd annual European Conference on Information Retrieval
    Research</i>, 2021, pp. 384–395.'
  mla: 'Bondarenko, Alexander, et al. “Overview of Touché 2021: Argument Retrieval.”
    <i>Proceedings of the 43rd Annual European Conference on Information Retrieval
    Research</i>, 2021, pp. 384–95.'
  short: 'A. Bondarenko, L. Gienapp, M. Fröbe, M. Beloucif, Y. Ajjour, A. Panchenko,
    C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Proceedings of
    the 43rd Annual European Conference on Information Retrieval Research, 2021, pp.
    384–395.'
date_created: 2018-08-02T11:40:53Z
date_updated: 2022-01-06T06:59:35Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/bondarenko_2021.pdf
page: 384-395
publication: Proceedings of the 43rd annual European Conference on Information Retrieval
  Research
status: public
title: 'Overview of Touché 2021: Argument Retrieval'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '23708'
author:
- first_name: Zahra
  full_name: Nouri, Zahra
  id: '35802'
  last_name: Nouri
- first_name: Ujwal
  full_name: Gadiraju, Ujwal
  last_name: Gadiraju
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational
    Assessment of Task Clarity in Crowdsourcing. In: <i>Proceedings of the 32nd ACM
    Conference on Hypertext and Social Media</i>. ; 2021:165-175.'
  apa: Nouri, Z., Gadiraju, U., Engels, G., &#38; Wachsmuth, H. (2021). What Is Unclear?
    Computational Assessment of Task Clarity in Crowdsourcing. <i>Proceedings of the
    32nd ACM Conference on Hypertext and Social Media</i>, 165–175.
  bibtex: '@inproceedings{Nouri_Gadiraju_Engels_Wachsmuth_2021, title={What Is Unclear?
    Computational Assessment of Task Clarity in Crowdsourcing}, booktitle={Proceedings
    of the 32nd ACM Conference on Hypertext and Social Media}, author={Nouri, Zahra
    and Gadiraju, Ujwal and Engels, Gregor and Wachsmuth, Henning}, year={2021}, pages={165–175}
    }'
  chicago: Nouri, Zahra, Ujwal Gadiraju, Gregor Engels, and Henning Wachsmuth. “What
    Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” In <i>Proceedings
    of the 32nd ACM Conference on Hypertext and Social Media</i>, 165–75, 2021.
  ieee: Z. Nouri, U. Gadiraju, G. Engels, and H. Wachsmuth, “What Is Unclear? Computational
    Assessment of Task Clarity in Crowdsourcing,” in <i>Proceedings of the 32nd ACM
    Conference on Hypertext and Social Media</i>, 2021, pp. 165–175.
  mla: Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity
    in Crowdsourcing.” <i>Proceedings of the 32nd ACM Conference on Hypertext and
    Social Media</i>, 2021, pp. 165–75.
  short: 'Z. Nouri, U. Gadiraju, G. Engels, H. Wachsmuth, in: Proceedings of the 32nd
    ACM Conference on Hypertext and Social Media, 2021, pp. 165–175.'
date_created: 2021-09-02T20:05:52Z
date_updated: 2022-01-06T06:55:58Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://dl.acm.org/doi/pdf/10.1145/3465336.3475109
oa: '1'
page: 165-175
publication: Proceedings of the 32nd ACM Conference on Hypertext and Social Media
status: public
title: What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22156'
abstract:
- lang: eng
  text: Word embedding models reflect bias towards genders, ethnicities, and other
    social groups present in the underlying training data. Metrics such as ECT, RNSB,
    and WEAT quantify bias in these models based on predefined word lists representing
    social groups and bias-conveying concepts. How suitable these lists actually are
    to reveal bias - let alone the bias metrics in general - remains unclear, though.
    In this paper, we study how to assess the quality of bias metrics for word embedding
    models. In particular, we present a generic method, Bias Silhouette Analysis (BSA),
    that quantifies the accuracy and robustness of such a metric and of the word lists
    used. Given a biased and an unbiased reference embedding model, BSA applies the
    metric systematically for several subsets of the lists to the models. The variance
    and rate of convergence of the bias values of each model then entail the robustness
    of the word lists, whereas the distance between the models' values gives indications
    of the general accuracy of the metric with the word lists. We demonstrate the
    behavior of BSA on two standard embedding models for the three mentioned metrics
    with several word lists from existing research.
author:
- first_name: Maximilian
  full_name: Spliethöver, Maximilian
  id: '84035'
  last_name: Spliethöver
  orcid: 0000-0003-4364-1409
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the
    Quality of Bias Metrics for Word Embedding Models. In: <i>Proceedings of the Thirtieth
    International Joint Conference on Artificial Intelligence, IJCAI-21</i>. ; 2021:552-559.
    doi:<a href="https://doi.org/10.24963/ijcai.2021/77">10.24963/ijcai.2021/77</a>'
  apa: 'Spliethöver, M., &#38; Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards
    Assessing the Quality of Bias Metrics for Word Embedding Models. <i>Proceedings
    of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>,
    552–559. <a href="https://doi.org/10.24963/ijcai.2021/77">https://doi.org/10.24963/ijcai.2021/77</a>'
  bibtex: '@inproceedings{Spliethöver_Wachsmuth_2021, title={Bias Silhouette Analysis:
    Towards Assessing the Quality of Bias Metrics for Word Embedding Models}, DOI={<a
    href="https://doi.org/10.24963/ijcai.2021/77">10.24963/ijcai.2021/77</a>}, booktitle={Proceedings
    of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21},
    author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2021}, pages={552–559}
    }'
  chicago: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis:
    Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” In <i>Proceedings
    of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>,
    552–59, 2021. <a href="https://doi.org/10.24963/ijcai.2021/77">https://doi.org/10.24963/ijcai.2021/77</a>.'
  ieee: 'M. Spliethöver and H. Wachsmuth, “Bias Silhouette Analysis: Towards Assessing
    the Quality of Bias Metrics for Word Embedding Models,” in <i>Proceedings of the
    Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>,
    Online, 2021, pp. 552–559, doi: <a href="https://doi.org/10.24963/ijcai.2021/77">10.24963/ijcai.2021/77</a>.'
  mla: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis:
    Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” <i>Proceedings
    of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>,
    2021, pp. 552–59, doi:<a href="https://doi.org/10.24963/ijcai.2021/77">10.24963/ijcai.2021/77</a>.'
  short: 'M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International
    Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.'
conference:
  end_date: 2021-08-26
  location: Online
  name: 30th International Joint Conference on Artificial Intelligence (IJCAI-21)
  start_date: 2021-08-19
date_created: 2021-05-11T23:13:26Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
doi: 10.24963/ijcai.2021/77
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.ijcai.org/proceedings/2021/77
oa: '1'
page: 552-559
publication: Proceedings of the Thirtieth International Joint Conference on Artificial
  Intelligence, IJCAI-21
quality_controlled: '1'
status: public
title: 'Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for
  Word Embedding Models'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22158'
author:
- first_name: Shahbaz
  full_name: Syed, Shahbaz
  last_name: Syed
- first_name: Khalid
  full_name: Al-Khatib, Khalid
  last_name: Al-Khatib
- first_name: Milad
  full_name: Alshomary, Milad
  id: '73059'
  last_name: Alshomary
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Martin
  full_name: Potthast, Martin
  last_name: Potthast
citation:
  ama: 'Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative
    Conclusions for Argumentative Texts. In: <i>Proceedings of the Joint Conference
    of the 59th Annual Meeting of the Association for Computational Linguistics and
    the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
    2021): Findings</i>. ; 2021:3482-3493.'
  apa: 'Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., &#38; Potthast, M.
    (2021). Generating Informative Conclusions for Argumentative Texts. <i>Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021): Findings</i>, 3482–3493.'
  bibtex: '@inproceedings{Syed_Al-Khatib_Alshomary_Wachsmuth_Potthast_2021, title={Generating
    Informative Conclusions for Argumentative Texts}, booktitle={Proceedings of the
    Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021): Findings}, author={Syed, Shahbaz and Al-Khatib, Khalid and
    Alshomary, Milad and Wachsmuth, Henning and Potthast, Martin}, year={2021}, pages={3482–3493}
    }'
  chicago: 'Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and
    Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.”
    In <i>Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
    for Computational Linguistics and the 11th International Joint Conference on Natural
    Language Processing (ACL-IJCNLP 2021): Findings</i>, 3482–93, 2021.'
  ieee: 'S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, and M. Potthast, “Generating
    Informative Conclusions for Argumentative Texts,” in <i>Proceedings of the Joint
    Conference of the 59th Annual Meeting of the Association for Computational Linguistics
    and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
    2021): Findings</i>, 2021, pp. 3482–3493.'
  mla: 'Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative
    Texts.” <i>Proceedings of the Joint Conference of the 59th Annual Meeting of the
    Association for Computational Linguistics and the 11th International Joint Conference
    on Natural Language Processing (ACL-IJCNLP 2021): Findings</i>, 2021, pp. 3482–93.'
  short: 'S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, M. Potthast, in: Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021): Findings, 2021, pp. 3482–3493.'
date_created: 2021-05-11T23:18:14Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://aclanthology.org/2021.findings-acl.306.pdf
oa: '1'
page: 3482-3493
publication: 'Proceedings of the Joint Conference of the 59th Annual Meeting of the
  Association for Computational Linguistics and the 11th International Joint Conference
  on Natural Language Processing (ACL-IJCNLP 2021): Findings'
status: public
title: Generating Informative Conclusions for Argumentative Texts
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22159'
author:
- first_name: Joe
  full_name: Barrow, Joe
  last_name: Barrow
- first_name: Rajiv
  full_name: Jain, Rajiv
  last_name: Jain
- first_name: Nedim
  full_name: Lipka, Nedim
  last_name: Lipka
- first_name: Franck
  full_name: Dernoncourt, Franck
  last_name: Dernoncourt
- first_name: Vlad
  full_name: Morariu, Vlad
  last_name: Morariu
- first_name: Varun
  full_name: Manjunatha, Varun
  last_name: Manjunatha
- first_name: Douglas
  full_name: Oard, Douglas
  last_name: Oard
- first_name: Philip
  full_name: Resnik, Philip
  last_name: Resnik
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Barrow J, Jain R, Lipka N, et al. Syntopical Graphs for Computational Argumentation
    Tasks. In: <i>Proceedings of the Joint Conference of the 59th Annual Meeting of
    the Association for Computational Linguistics and the 11th International Joint
    Conference on Natural Language Processing (ACL-IJCNLP 2021)</i>. ; 2021:1583-1595.'
  apa: Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha,
    V., Oard, D., Resnik, P., &#38; Wachsmuth, H. (2021). Syntopical Graphs for Computational
    Argumentation Tasks. <i>Proceedings of the Joint Conference of the 59th Annual
    Meeting of the Association for Computational Linguistics and the 11th International
    Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)</i>, 1583–1595.
  bibtex: '@inproceedings{Barrow_Jain_Lipka_Dernoncourt_Morariu_Manjunatha_Oard_Resnik_Wachsmuth_2021,
    title={Syntopical Graphs for Computational Argumentation Tasks}, booktitle={Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)}, author={Barrow, Joe and Jain, Rajiv and Lipka, Nedim and Dernoncourt,
    Franck and Morariu, Vlad and Manjunatha, Varun and Oard, Douglas and Resnik, Philip
    and Wachsmuth, Henning}, year={2021}, pages={1583–1595} }'
  chicago: Barrow, Joe, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu,
    Varun Manjunatha, Douglas Oard, Philip Resnik, and Henning Wachsmuth. “Syntopical
    Graphs for Computational Argumentation Tasks.” In <i>Proceedings of the Joint
    Conference of the 59th Annual Meeting of the Association for Computational Linguistics
    and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
    2021)</i>, 1583–95, 2021.
  ieee: J. Barrow <i>et al.</i>, “Syntopical Graphs for Computational Argumentation
    Tasks,” in <i>Proceedings of the Joint Conference of the 59th Annual Meeting of
    the Association for Computational Linguistics and the 11th International Joint
    Conference on Natural Language Processing (ACL-IJCNLP 2021)</i>, 2021, pp. 1583–1595.
  mla: Barrow, Joe, et al. “Syntopical Graphs for Computational Argumentation Tasks.”
    <i>Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
    for Computational Linguistics and the 11th International Joint Conference on Natural
    Language Processing (ACL-IJCNLP 2021)</i>, 2021, pp. 1583–95.
  short: 'J. Barrow, R. Jain, N. Lipka, F. Dernoncourt, V. Morariu, V. Manjunatha,
    D. Oard, P. Resnik, H. Wachsmuth, in: Proceedings of the Joint Conference of the
    59th Annual Meeting of the Association for Computational Linguistics and the 11th
    International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),
    2021, pp. 1583–1595.'
date_created: 2021-05-11T23:20:59Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://aclanthology.org/2021.acl-long.126.pdf
oa: '1'
page: 1583-1595
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
  Association for Computational Linguistics and the 11th International Joint Conference
  on Natural Language Processing (ACL-IJCNLP 2021)
status: public
title: Syntopical Graphs for Computational Argumentation Tasks
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22160'
author:
- first_name: Khalid
  full_name: Al-Khatib, Khalid
  last_name: Al-Khatib
- first_name: Lukas
  full_name: Trautner, Lukas
  last_name: Trautner
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Yufang
  full_name: Hou, Yufang
  last_name: Hou
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
citation:
  ama: 'Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. Employing Argumentation
    Knowledge Graphs for Neural Argument Generation. In: <i>Proceedings of the Joint
    Conference of the 59th Annual Meeting of the Association for Computational Linguistics
    and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
    2021)</i>. ; 2021:4744-4754.'
  apa: Al-Khatib, K., Trautner, L., Wachsmuth, H., Hou, Y., &#38; Stein, B. (2021).
    Employing Argumentation Knowledge Graphs for Neural Argument Generation. <i>Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)</i>, 4744–4754.
  bibtex: '@inproceedings{Al-Khatib_Trautner_Wachsmuth_Hou_Stein_2021, title={Employing
    Argumentation Knowledge Graphs for Neural Argument Generation}, booktitle={Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)}, author={Al-Khatib, Khalid and Trautner, Lukas and Wachsmuth,
    Henning and Hou, Yufang and Stein, Benno}, year={2021}, pages={4744–4754} }'
  chicago: Al-Khatib, Khalid, Lukas Trautner, Henning Wachsmuth, Yufang Hou, and Benno
    Stein. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.”
    In <i>Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
    for Computational Linguistics and the 11th International Joint Conference on Natural
    Language Processing (ACL-IJCNLP 2021)</i>, 4744–54, 2021.
  ieee: K. Al-Khatib, L. Trautner, H. Wachsmuth, Y. Hou, and B. Stein, “Employing
    Argumentation Knowledge Graphs for Neural Argument Generation,” in <i>Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)</i>, 2021, pp. 4744–4754.
  mla: Al-Khatib, Khalid, et al. “Employing Argumentation Knowledge Graphs for Neural
    Argument Generation.” <i>Proceedings of the Joint Conference of the 59th Annual
    Meeting of the Association for Computational Linguistics and the 11th International
    Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)</i>, 2021, pp.
    4744–54.
  short: 'K. Al-Khatib, L. Trautner, H. Wachsmuth, Y. Hou, B. Stein, in: Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021), 2021, pp. 4744–4754.'
date_created: 2021-05-11T23:22:36Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.acl-long.366.pdf
page: 4744-4754
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
  Association for Computational Linguistics and the 11th International Joint Conference
  on Natural Language Processing (ACL-IJCNLP 2021)
status: public
title: Employing Argumentation Knowledge Graphs for Neural Argument Generation
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22448'
author:
- first_name: Johannes
  full_name: Kiesel, Johannes
  last_name: Kiesel
- first_name: Damiano
  full_name: Spina, Damiano
  last_name: Spina
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
citation:
  ama: 'Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood:
    Conversational Argument Search and Cognitive Biases. In: <i>Proceedings of the
    2021 Conversational User Interfaces Conference</i>. ; 2021:1-5.'
  apa: 'Kiesel, J., Spina, D., Wachsmuth, H., &#38; Stein, B. (2021). The Meant, the
    Said, and the Understood: Conversational Argument Search and Cognitive Biases.
    <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 1–5.'
  bibtex: '@inproceedings{Kiesel_Spina_Wachsmuth_Stein_2021, title={The Meant, the
    Said, and the Understood: Conversational Argument Search and Cognitive Biases},
    booktitle={Proceedings of the 2021 Conversational User Interfaces Conference},
    author={Kiesel, Johannes and Spina, Damiano and Wachsmuth, Henning and Stein,
    Benno}, year={2021}, pages={1–5} }'
  chicago: 'Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The
    Meant, the Said, and the Understood: Conversational Argument Search and Cognitive
    Biases.” In <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>,
    1–5, 2021.'
  ieee: 'J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and
    the Understood: Conversational Argument Search and Cognitive Biases,” in <i>Proceedings
    of the 2021 Conversational User Interfaces Conference</i>, 2021, pp. 1–5.'
  mla: 'Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational
    Argument Search and Cognitive Biases.” <i>Proceedings of the 2021 Conversational
    User Interfaces Conference</i>, 2021, pp. 1–5.'
  short: 'J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021
    Conversational User Interfaces Conference, 2021, pp. 1–5.'
date_created: 2021-06-15T13:51:36Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615
page: 1-5
publication: Proceedings of the 2021 Conversational User Interfaces Conference
status: public
title: 'The Meant, the Said, and the Understood: Conversational Argument Search and
  Cognitive Biases'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25297'
author:
- first_name: Milad
  full_name: Alshomary, Milad
  id: '73059'
  last_name: Alshomary
- first_name: Timon
  full_name: Gurcke, Timon
  id: '52174'
  last_name: Gurcke
- first_name: Shahbaz
  full_name: Syed, Shahbaz
  last_name: Syed
- first_name: Philipp
  full_name: Heinisch, Philipp
  last_name: Heinisch
- first_name: Maximilian
  full_name: Spliethöver, Maximilian
  id: '84035'
  last_name: Spliethöver
  orcid: 0000-0003-4364-1409
- first_name: Philipp
  full_name: Cimiano, Philipp
  last_name: Cimiano
- first_name: Martin
  full_name: Potthast, Martin
  last_name: Potthast
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning
    and Extractive Argument Summarization. In: <i>Proceedings of the 8th Workshop
    on Argument Mining</i>. ; 2021:184-189.'
  apa: Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano,
    P., Potthast, M., &#38; Wachsmuth, H. (2021). Key Point Analysis via Contrastive
    Learning and Extractive Argument Summarization. <i>Proceedings of the 8th Workshop
    on Argument Mining</i>, 184–189.
  bibtex: '@inproceedings{Alshomary_Gurcke_Syed_Heinisch_Spliethöver_Cimiano_Potthast_Wachsmuth_2021,
    title={Key Point Analysis via Contrastive Learning and Extractive Argument Summarization},
    booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Alshomary,
    Milad and Gurcke, Timon and Syed, Shahbaz and Heinisch, Philipp and Spliethöver,
    Maximilian and Cimiano, Philipp and Potthast, Martin and Wachsmuth, Henning},
    year={2021}, pages={184–189} }'
  chicago: Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian
    Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point
    Analysis via Contrastive Learning and Extractive Argument Summarization.” In <i>Proceedings
    of the 8th Workshop on Argument Mining</i>, 184–89, 2021.
  ieee: M. Alshomary <i>et al.</i>, “Key Point Analysis via Contrastive Learning and
    Extractive Argument Summarization,” in <i>Proceedings of the 8th Workshop on Argument
    Mining</i>, 2021, pp. 184–189.
  mla: Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive
    Argument Summarization.” <i>Proceedings of the 8th Workshop on Argument Mining</i>,
    2021, pp. 184–89.
  short: 'M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano,
    M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining,
    2021, pp. 184–189.'
date_created: 2021-10-04T12:40:02Z
date_updated: 2022-03-08T12:47:33Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.argmining-1.19.pdf
page: 184 - 189
publication: Proceedings of the 8th Workshop on Argument Mining
status: public
title: Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25294'
author:
- first_name: Zahra
  full_name: Nouri, Zahra
  id: '35802'
  last_name: Nouri
- first_name: Nikhil
  full_name: Prakash, Nikhil
  last_name: Prakash
- first_name: Ujwal
  full_name: Gadiraju, Ujwal
  last_name: Gadiraju
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters
    Iteratively Improve Task Descriptions in Crowdsourcing. In: <i>Proceedings of
    the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021</i>.
    ; 2021.'
  apa: Nouri, Z., Prakash, N., Gadiraju, U., &#38; Wachsmuth, H. (2021). iClarify
    - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.
    <i>Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
    HCOMP 2021</i>.
  bibtex: '@inproceedings{Nouri_Prakash_Gadiraju_Wachsmuth_2021, title={iClarify -
    A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing},
    booktitle={Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
    HCOMP 2021}, author={Nouri, Zahra and Prakash, Nikhil and Gadiraju, Ujwal and
    Wachsmuth, Henning}, year={2021} }'
  chicago: Nouri, Zahra, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. “IClarify
    - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.”
    In <i>Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
    HCOMP 2021</i>, 2021.
  ieee: Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to
    Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.
  mla: Nouri, Zahra, et al. “IClarify - A Tool to Help Requesters Iteratively Improve
    Task Descriptions in Crowdsourcing.” <i>Proceedings of the Ninth AAAI Conference
    on Human Computation and Crowdsourcing, HCOMP 2021</i>, 2021.
  short: 'Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the
    Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.'
date_created: 2021-10-04T12:35:50Z
date_updated: 2022-03-08T12:46:44Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.humancomputation.com/assets/wips_demos/HCOMP_2021_paper_111.pdf
publication: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
  HCOMP 2021
status: public
title: iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions
  in Crowdsourcing
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25295'
author:
- first_name: Timon
  full_name: Gurcke, Timon
  id: '52174'
  last_name: Gurcke
- first_name: Milad
  full_name: Alshomary, Milad
  id: '73059'
  last_name: Alshomary
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments
    through Conclusion Generation. In: <i>Proceedings of the 8th Workshop on Argument
    Mining</i>. ; 2021:67-77.'
  apa: Gurcke, T., Alshomary, M., &#38; Wachsmuth, H. (2021). Assessing the Sufficiency
    of Arguments through Conclusion Generation. <i>Proceedings of the 8th Workshop
    on Argument Mining</i>, 67–77.
  bibtex: '@inproceedings{Gurcke_Alshomary_Wachsmuth_2021, title={Assessing the Sufficiency
    of Arguments through Conclusion Generation}, booktitle={Proceedings of the 8th
    Workshop on Argument Mining}, author={Gurcke, Timon and Alshomary, Milad and Wachsmuth,
    Henning}, year={2021}, pages={67–77} }'
  chicago: Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency
    of Arguments through Conclusion Generation.” In <i>Proceedings of the 8th Workshop
    on Argument Mining</i>, 67–77, 2021.
  ieee: T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments
    through Conclusion Generation,” in <i>Proceedings of the 8th Workshop on Argument
    Mining</i>, 2021, pp. 67–77.
  mla: Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion
    Generation.” <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021,
    pp. 67–77.
  short: 'T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop
    on Argument Mining, 2021, pp. 67–77.'
date_created: 2021-10-04T12:38:02Z
date_updated: 2022-05-06T08:48:51Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.argmining-1.7.pdf
page: 67 - 77
project:
- _id: '52'
  name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 8th Workshop on Argument Mining
status: public
title: Assessing the Sufficiency of Arguments through Conclusion Generation
type: conference
user_id: '52174'
year: '2021'
...
---
_id: '23709'
author:
- first_name: Wei-Fan
  full_name: Chen, Wei-Fan
  id: '82920'
  last_name: Chen
- first_name: Khalid
  full_name: Al Khatib, Khalid
  last_name: Al Khatib
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level
    Reframing of News Articles. In: <i>Findings of the Association for Computational
    Linguistics: EMNLP 2021</i>. ; 2021:2683-2693.'
  apa: 'Chen, W.-F., Al Khatib, K., Stein, B., &#38; Wachsmuth, H. (2021). Controlled
    Neural Sentence-Level Reframing of News Articles. <i>Findings of the Association
    for Computational Linguistics: EMNLP 2021</i>, 2683–2693.'
  bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural
    Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association
    for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib,
    Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693}
    }'
  chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled
    Neural Sentence-Level Reframing of News Articles.” In <i>Findings of the Association
    for Computational Linguistics: EMNLP 2021</i>, 2683–93, 2021.'
  ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural
    Sentence-Level Reframing of News Articles,” in <i>Findings of the Association
    for Computational Linguistics: EMNLP 2021</i>, 2021, pp. 2683–2693.'
  mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News
    Articles.” <i>Findings of the Association for Computational Linguistics: EMNLP
    2021</i>, 2021, pp. 2683–93.'
  short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
    for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
date_created: 2021-09-02T20:09:20Z
date_updated: 2022-05-09T15:00:09Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-emnlp.228.pdf
page: 2683 - 2693
project:
- _id: '1'
  name: 'SFB 901: SFB 901'
- _id: '3'
  name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
  name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021'
status: public
title: Controlled Neural Sentence-Level Reframing of News Articles
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22229'
author:
- first_name: Milad
  full_name: Alshomary, Milad
  id: '73059'
  last_name: Alshomary
- first_name: Shahbaz
  full_name: Syed, Shahbaz
  last_name: Syed
- first_name: Martin
  full_name: Potthast, Martin
  last_name: Potthast
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument
    Generation by Attacking Weak Premises. In: <i>Proceedings of the Joint Conference
    of the 59th Annual Meeting of the Association for Computational Linguistics and
    the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
    2021)</i>. Findings of the Association for Computational Linguistics: ACL-IJCNLP
    2021. Association for Computational Linguistics; 2021:1816–1827. doi:<a href="https://doi.org/10.18653/v1/2021.findings-acl.159">10.18653/v1/2021.findings-acl.159</a>'
  apa: 'Alshomary, M., Syed, S., Potthast, M., &#38; Wachsmuth, H. (2021). Argument
    Undermining: Counter-Argument Generation by Attacking Weak Premises. <i>Proceedings
    of the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)</i>, 1816–1827. <a href="https://doi.org/10.18653/v1/2021.findings-acl.159">https://doi.org/10.18653/v1/2021.findings-acl.159</a>'
  bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings
    of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument
    Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={<a
    href="https://doi.org/10.18653/v1/2021.findings-acl.159">10.18653/v1/2021.findings-acl.159</a>},
    booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the
    Association for Computational Linguistics and the 11th International Joint Conference
    on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for
    Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast,
    Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings
    of the Association for Computational Linguistics: ACL-IJCNLP 2021} }'
  chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth.
    “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”
    In <i>Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
    for Computational Linguistics and the 11th International Joint Conference on Natural
    Language Processing (ACL-IJCNLP 2021)</i>, 1816–1827. Findings of the Association
    for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational
    Linguistics, 2021. <a href="https://doi.org/10.18653/v1/2021.findings-acl.159">https://doi.org/10.18653/v1/2021.findings-acl.159</a>.'
  ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining:
    Counter-Argument Generation by Attacking Weak Premises,” in <i>Proceedings of
    the Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)</i>, Online, 2021, pp. 1816–1827, doi: <a href="https://doi.org/10.18653/v1/2021.findings-acl.159">10.18653/v1/2021.findings-acl.159</a>.'
  mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation
    by Attacking Weak Premises.” <i>Proceedings of the Joint Conference of the 59th
    Annual Meeting of the Association for Computational Linguistics and the 11th International
    Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)</i>, Association
    for Computational Linguistics, 2021, pp. 1816–1827, doi:<a href="https://doi.org/10.18653/v1/2021.findings-acl.159">10.18653/v1/2021.findings-acl.159</a>.'
  short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the
    Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.'
conference:
  location: Online
  name: The Joint Conference of the 59th Annual Meeting of the Association for Computational
    Linguistics and the 11th International Joint Conference on Natural Language Processing
    (ACL-IJCNLP 2021)
date_created: 2021-05-26T07:06:18Z
date_updated: 2022-05-09T15:06:36Z
department:
- _id: '600'
doi: 10.18653/v1/2021.findings-acl.159
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-acl.159.pdf
page: 1816–1827
project:
- _id: '1'
  name: 'SFB 901: SFB 901'
- _id: '3'
  name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
  name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
  Association for Computational Linguistics and the 11th International Joint Conference
  on Natural Language Processing (ACL-IJCNLP 2021)
publisher: Association for Computational Linguistics
series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP
  2021'
status: public
title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '45788'
author:
- first_name: Jonas
  full_name: Bülling, Jonas
  last_name: Bülling
citation:
  ama: 'Bülling J. <i>Political Speaker Transfer: Learning to Generate Text in the
    Styles of Barack Obama and Donald Trump</i>.; 2021.'
  apa: 'Bülling, J. (2021). <i>Political Speaker Transfer: Learning to Generate Text
    in the Styles of Barack Obama and Donald Trump</i>.'
  bibtex: '@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate
    Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas},
    year={2021} }'
  chicago: 'Bülling, Jonas. <i>Political Speaker Transfer: Learning to Generate Text
    in the Styles of Barack Obama and Donald Trump</i>, 2021.'
  ieee: 'J. Bülling, <i>Political Speaker Transfer: Learning to Generate Text in the
    Styles of Barack Obama and Donald Trump</i>. 2021.'
  mla: 'Bülling, Jonas. <i>Political Speaker Transfer: Learning to Generate Text in
    the Styles of Barack Obama and Donald Trump</i>. 2021.'
  short: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
    Styles of Barack Obama and Donald Trump, 2021.'
date_created: 2023-06-27T12:54:30Z
date_updated: 2023-07-05T07:32:18Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
  grant_number: '160364472'
  name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
    B1)'
- _id: '1'
  grant_number: '160364472'
  name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
    in dynamischen Märkten '
- _id: '3'
  name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
title: 'Political Speaker Transfer: Learning to Generate Text in the Styles of Barack
  Obama and Donald Trump'
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '45787'
author:
- first_name: Avishek
  full_name: Mishra, Avishek
  last_name: Mishra
citation:
  ama: Mishra A. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence
    Models</i>.; 2021.
  apa: Mishra, A. (2021). <i>Computational Text Professionalization using Neural Sequence-to-Sequence
    Models</i>.
  bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using
    Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }'
  chicago: Mishra, Avishek. <i>Computational Text Professionalization Using Neural
    Sequence-to-Sequence Models</i>, 2021.
  ieee: A. Mishra, <i>Computational Text Professionalization using Neural Sequence-to-Sequence
    Models</i>. 2021.
  mla: Mishra, Avishek. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence
    Models</i>. 2021.
  short: A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence
    Models, 2021.
date_created: 2023-06-27T12:51:08Z
date_updated: 2023-07-05T07:32:50Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
  grant_number: '160364472'
  name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
    B1)'
- _id: '1'
  grant_number: '160364472'
  name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
    in dynamischen Märkten '
- _id: '3'
  name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
title: Computational Text Professionalization using Neural Sequence-to-Sequence Models
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '21178'
abstract:
- lang: eng
  text: "When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims
    to the beliefs of the audience, to construct effective arguments.\r\nRecently,
    the field of computational argumentation witnessed extensive effort\r\nto address
    the automatic generation of arguments. However, existing approaches\r\ndo not
    perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis
    gap by studying the task of belief-based claim generation: Given a\r\ncontroversial
    topic and a set of beliefs, generate an argumentative claim\r\ntailored to the
    beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their
    stances on controversial topics and extend\r\nstate-of-the-art text generation
    models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation
    confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs.
    In a manual study, we additionally evaluate\r\nthe generated claims in terms of
    informativeness and their likelihood to be\r\nuttered by someone with a respective
    belief. Our results reveal the limitations\r\nof modeling users' beliefs based
    on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative
    texts, laying the ground for\r\nfuture exploration of audience reach."
author:
- first_name: Milad
  full_name: Alshomary, Milad
  id: '73059'
  last_name: Alshomary
- first_name: Wei-Fan
  full_name: Chen, Wei-Fan
  id: '82920'
  last_name: Chen
- first_name: Timon
  full_name: Gurcke, Timon
  id: '52174'
  last_name: Gurcke
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative
    Claims. In: <i>Proceedings of the 16th Conference of the European Chapter of the
    Association for Computational Linguistics: Main Volume</i>. Association for Computational
    Linguistics; 2021:224-233. doi:<a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>'
  apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., &#38; Wachsmuth, H. (2021). Belief-based
    Generation of Argumentative Claims. <i>Proceedings of the 16th Conference of the
    European Chapter of the Association for Computational Linguistics: Main Volume</i>,
    224–233. <a href="https://doi.org/10.18653/v1/2021.eacl-main.17">https://doi.org/10.18653/v1/2021.eacl-main.17</a>'
  bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based
    Generation of Argumentative Claims}, DOI={<a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>},
    booktitle={Proceedings of the 16th Conference of the European Chapter of the Association
    for Computational Linguistics: Main Volume}, publisher={Association for Computational
    Linguistics}, author={Alshomary, Milad and Chen, Wei-Fan and Gurcke, Timon and
    Wachsmuth, Henning}, year={2021}, pages={224–233} }'
  chicago: 'Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based
    Generation of Argumentative Claims.” In <i>Proceedings of the 16th Conference
    of the European Chapter of the Association for Computational Linguistics: Main
    Volume</i>, 224–33. Association for Computational Linguistics, 2021. <a href="https://doi.org/10.18653/v1/2021.eacl-main.17">https://doi.org/10.18653/v1/2021.eacl-main.17</a>.'
  ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation
    of Argumentative Claims,” in <i>Proceedings of the 16th Conference of the European
    Chapter of the Association for Computational Linguistics: Main Volume</i>, Online,
    2021, pp. 224–233, doi: <a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>.'
  mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.”
    <i>Proceedings of the 16th Conference of the European Chapter of the Association
    for Computational Linguistics: Main Volume</i>, Association for Computational
    Linguistics, 2021, pp. 224–33, doi:<a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>.'
  short: 'M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the
    16th Conference of the European Chapter of the Association for Computational Linguistics:
    Main Volume, Association for Computational Linguistics, 2021, pp. 224–233.'
conference:
  location: Online
  name: 'Proceedings of the 16th Conference of the European Chapter of the Association
    for Computational Linguistics: Main Volume'
date_created: 2021-02-05T08:00:07Z
date_updated: 2026-02-23T16:06:41Z
department:
- _id: '600'
doi: 10.18653/v1/2021.eacl-main.17
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2021.eacl-main.17
page: 224-233
project:
- _id: '1'
  name: 'SFB 901: SFB 901'
- _id: '3'
  name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
  name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Proceedings of the 16th Conference of the European Chapter of the Association
  for Computational Linguistics: Main Volume'
publisher: Association for Computational Linguistics
status: public
title: Belief-based Generation of Argumentative Claims
type: conference
user_id: '14972'
year: '2021'
...
---
_id: '20116'
author:
- first_name: Zahra
  full_name: Nouri, Zahra
  id: '35802'
  last_name: Nouri
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: 'Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion
    Forums of Workers. In: <i>Proceedings of COLING 2020, the 28th International Conference
    on Computational Linguistics</i>. ; :6264-6276.'
  apa: Nouri, Z., Wachsmuth, H., &#38; Engels, G. (n.d.). Mining Crowdsourcing Problems
    from Discussion Forums of Workers. In <i>Proceedings of COLING 2020, the 28th
    International Conference on Computational Linguistics</i> (pp. 6264–6276). Barcelona,
    Spain.
  bibtex: '@inproceedings{Nouri_Wachsmuth_Engels, title={Mining Crowdsourcing Problems
    from Discussion Forums of Workers}, booktitle={Proceedings of COLING 2020, the
    28th International Conference on Computational Linguistics}, author={Nouri, Zahra
    and Wachsmuth, Henning and Engels, Gregor}, pages={6264–6276} }'
  chicago: Nouri, Zahra, Henning Wachsmuth, and Gregor Engels. “Mining Crowdsourcing
    Problems from Discussion Forums of Workers.” In <i>Proceedings of COLING 2020,
    the 28th International Conference on Computational Linguistics</i>, 6264–76, n.d.
  ieee: Z. Nouri, H. Wachsmuth, and G. Engels, “Mining Crowdsourcing Problems from
    Discussion Forums of Workers,” in <i>Proceedings of COLING 2020, the 28th International
    Conference on Computational Linguistics</i>, Barcelona, Spain, pp. 6264–6276.
  mla: Nouri, Zahra, et al. “Mining Crowdsourcing Problems from Discussion Forums
    of Workers.” <i>Proceedings of COLING 2020, the 28th International Conference
    on Computational Linguistics</i>, pp. 6264–76.
  short: 'Z. Nouri, H. Wachsmuth, G. Engels, in: Proceedings of COLING 2020, the 28th
    International Conference on Computational Linguistics, n.d., pp. 6264–6276.'
conference:
  end_date: 2020-12-13
  location: Barcelona, Spain
  name: The 28th International Conference on Computational Linguistics
  start_date: 2020-12-08
date_created: 2020-10-18T12:21:34Z
date_updated: 2022-01-06T06:54:19Z
ddc:
- '000'
department:
- _id: '600'
file:
- access_level: closed
  content_type: application/pdf
  creator: znouri
  date_created: 2020-11-10T14:25:56Z
  date_updated: 2020-11-10T14:25:56Z
  file_id: '20334'
  file_name: Mining Crowdsourcing Problems from Discussion Forums of Workers.pdf
  file_size: 610246
  relation: main_file
  success: 1
file_date_updated: 2020-11-10T14:25:56Z
has_accepted_license: '1'
language:
- iso: eng
page: 6264-6276
publication: Proceedings of COLING 2020, the 28th International Conference on Computational
  Linguistics
publication_status: accepted
status: public
title: Mining Crowdsourcing Problems from Discussion Forums of Workers
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20122'
author:
- first_name: Roxanne
  full_name: El Baff, Roxanne
  last_name: El Baff
- first_name: Khalid
  full_name: Al-Khatib, Khalid
  last_name: Al-Khatib
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials
    depending on Ideology and Personality. In: <i>Third Workshop on Computational
    Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES
    2020)</i>. ; 2020:29-40.'
  apa: El Baff, R., Al-Khatib, K., Stein, B., &#38; Wachsmuth, H. (2020). Persuasiveness
    of News Editorials depending on Ideology and Personality. In <i>Third Workshop
    on Computational Modeling of People’s Opinions, Personality, and Emotions in Social
    Media (PEOPLES 2020)</i> (pp. 29–40).
  bibtex: '@inproceedings{El Baff_Al-Khatib_Stein_Wachsmuth_2020, title={Persuasiveness
    of News Editorials depending on Ideology and Personality}, booktitle={Third Workshop
    on Computational Modeling of People’s Opinions, Personality, and Emotions in Social
    Media (PEOPLES 2020)}, author={El Baff, Roxanne and Al-Khatib, Khalid and Stein,
    Benno and Wachsmuth, Henning}, year={2020}, pages={29–40} }'
  chicago: El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth.
    “Persuasiveness of News Editorials Depending on Ideology and Personality.” In
    <i>Third Workshop on Computational Modeling of People’s Opinions, Personality,
    and Emotions in Social Media (PEOPLES 2020)</i>, 29–40, 2020.
  ieee: R. El Baff, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Persuasiveness of News
    Editorials depending on Ideology and Personality,” in <i>Third Workshop on Computational
    Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES
    2020)</i>, 2020, pp. 29–40.
  mla: El Baff, Roxanne, et al. “Persuasiveness of News Editorials Depending on Ideology
    and Personality.” <i>Third Workshop on Computational Modeling of People’s Opinions,
    Personality, and Emotions in Social Media (PEOPLES 2020)</i>, 2020, pp. 29–40.
  short: 'R. El Baff, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Third Workshop on
    Computational Modeling of People’s Opinions, Personality, and Emotions in Social
    Media (PEOPLES 2020), 2020, pp. 29–40.'
date_created: 2020-10-19T08:49:05Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.peoples-1.4.pdf
page: 29-40
publication: Third Workshop on Computational Modeling of People's Opinions, Personality,
  and Emotions in Social Media (PEOPLES 2020)
status: public
title: Persuasiveness of News Editorials depending on Ideology and Personality
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20139'
author:
- first_name: Maximilian
  full_name: Spliethöver, Maximilian
  id: '84035'
  last_name: Spliethöver
  orcid: 0000-0003-4364-1409
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social
    Bias in Argumentation. In: <i>Proceedings of the 7th Workshop on Argument Mining
    (ArgMining 2020)</i>. ; 2020:76-87.'
  apa: 'Spliethöver, M., &#38; Wachsmuth, H. (2020). Argument from Old Man’s View:
    Assessing Social Bias in Argumentation. In <i>Proceedings of the 7th Workshop
    on Argument Mining (ArgMining 2020)</i> (pp. 76–87).'
  bibtex: '@inproceedings{Spliethöver_Wachsmuth_2020, title={Argument from Old Man’s
    View: Assessing Social Bias in Argumentation}, booktitle={Proceedings of the 7th
    Workshop on Argument Mining (ArgMining 2020)}, author={Spliethöver, Maximilian
    and Wachsmuth, Henning}, year={2020}, pages={76–87} }'
  chicago: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s
    View: Assessing Social Bias in Argumentation.” In <i>Proceedings of the 7th Workshop
    on Argument Mining (ArgMining 2020)</i>, 76–87, 2020.'
  ieee: 'M. Spliethöver and H. Wachsmuth, “Argument from Old Man’s View: Assessing
    Social Bias in Argumentation,” in <i>Proceedings of the 7th Workshop on Argument
    Mining (ArgMining 2020)</i>, 2020, pp. 76–87.'
  mla: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View:
    Assessing Social Bias in Argumentation.” <i>Proceedings of the 7th Workshop on
    Argument Mining (ArgMining 2020)</i>, 2020, pp. 76–87.'
  short: 'M. Spliethöver, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument
    Mining (ArgMining 2020), 2020, pp. 76–87.'
date_created: 2020-10-20T13:03:08Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.aclweb.org/anthology/2020.argmining-1.9
oa: '1'
page: 76-87
publication: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)
status: public
title: 'Argument from Old Man''s View: Assessing Social Bias in Argumentation'
type: conference
user_id: '84035'
year: '2020'
...
---
_id: '20140'
author:
- first_name: Jonas
  full_name: Dorsch, Jonas
  last_name: Dorsch
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora.
    In: <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>.
    ; 2020:19-29.'
  apa: Dorsch, J., &#38; Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument
    Corpora. In <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>
    (pp. 19–29).
  bibtex: '@inproceedings{Dorsch_Wachsmuth_2020, title={Semi-Supervised Cleansing
    of Web Argument Corpora}, booktitle={Proceedings of the 7th Workshop on Argument
    Mining (ArgMining 2020)}, author={Dorsch, Jonas and Wachsmuth, Henning}, year={2020},
    pages={19–29} }'
  chicago: Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web
    Argument Corpora.” In <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining
    2020)</i>, 19–29, 2020.
  ieee: J. Dorsch and H. Wachsmuth, “Semi-Supervised Cleansing of Web Argument Corpora,”
    in <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>,
    2020, pp. 19–29.
  mla: Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument
    Corpora.” <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>,
    2020, pp. 19–29.
  short: 'J. Dorsch, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument
    Mining (ArgMining 2020), 2020, pp. 19–29.'
date_created: 2020-10-20T13:04:15Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.argmining-1.3.pdf
page: 19-29
publication: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)
status: public
title: Semi-Supervised Cleansing of Web Argument Corpora
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20166'
author:
- first_name: Alexander
  full_name: Bondarenko, Alexander
  last_name: Bondarenko
- first_name: Maik
  full_name: Fröbe, Maik
  last_name: Fröbe
- first_name: Meriem
  full_name: Beloucif, Meriem
  last_name: Beloucif
- first_name: Lukas
  full_name: Gienapp, Lukas
  last_name: Gienapp
- first_name: Yamen
  full_name: Ajjour, Yamen
  last_name: Ajjour
- first_name: Alexander
  full_name: Panchenko, Alexander
  last_name: Panchenko
- first_name: Chris
  full_name: Biemann, Chris
  last_name: Biemann
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Martin
  full_name: Potthast, Martin
  last_name: Potthast
- first_name: Matthias
  full_name: Hagen, Matthias
  last_name: Hagen
citation:
  ama: 'Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument
    Retrieval. In: <i>CEUR Workshop Proceedings</i>. Vol 2696. ; 2020:384-395.'
  apa: 'Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko,
    A., … Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In <i>CEUR
    Workshop Proceedings</i> (Vol. 2696, pp. 384–395).'
  bibtex: '@inproceedings{Bondarenko_Fröbe_Beloucif_Gienapp_Ajjour_Panchenko_Biemann_Stein_Wachsmuth_Potthast_et
    al._2020, title={Overview of Touché 2020: Argument Retrieval}, volume={2696},
    booktitle={CEUR Workshop Proceedings}, author={Bondarenko, Alexander and Fröbe,
    Maik and Beloucif, Meriem and Gienapp, Lukas and Ajjour, Yamen and Panchenko,
    Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast,
    Martin and et al.}, year={2020}, pages={384–395} }'
  chicago: 'Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen
    Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument
    Retrieval.” In <i>CEUR Workshop Proceedings</i>, 2696:384–95, 2020.'
  ieee: 'A. Bondarenko <i>et al.</i>, “Overview of Touché 2020: Argument Retrieval,”
    in <i>CEUR Workshop Proceedings</i>, 2020, vol. 2696, pp. 384–395.'
  mla: 'Bondarenko, Alexander, et al. “Overview of Touché 2020: Argument Retrieval.”
    <i>CEUR Workshop Proceedings</i>, vol. 2696, 2020, pp. 384–95.'
  short: 'A. Bondarenko, M. Fröbe, M. Beloucif, L. Gienapp, Y. Ajjour, A. Panchenko,
    C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: CEUR Workshop Proceedings,
    2020, pp. 384–395.'
date_created: 2020-10-22T07:22:52Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
intvolume: '      2696'
language:
- iso: eng
main_file_link:
- url: http://ceur-ws.org/Vol-2696/paper_261.pdf
page: 384-395
publication: CEUR Workshop Proceedings
status: public
title: 'Overview of Touché 2020: Argument Retrieval'
type: conference
user_id: '82920'
volume: 2696
year: '2020'
...