Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Henning Wachsmuth"'
Autor:
Milad Alshomary, Henning Wachsmuth
Publikováno v:
Patterns, Vol 2, Iss 6, Pp 100253- (2021)
The maturity of the computational argumentation field, demonstrated with the first live debate between a machine and a human,1 triggers a demanding question: how can we build argumentation technologies that bring people together? We believe that an i
Externí odkaz:
https://doaj.org/article/9a08c11eee104ff098008b37046ef21e
Autor:
Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, Heike Wehrheim
Final book of the Collaborative Research Center 901. Published within the series "Verlagsschriftenreihe des Heinz Nixdorf Instituts", volume 412, ISBN 978-3-947647-31-6, June 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfda03bc41062c1796e09b6462027079
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bab5a541db867ad2a264c5645699b7b
https://doi.org/10.1145/3581641.3584039
https://doi.org/10.1145/3581641.3584039
Publikováno v:
Transactions of the Association for Computational Linguistics. 10:1392-1422
Despite extensive research efforts in recent years, computational argumentation (CA) remains one of the most challenging areas of natural language processing. The reason for this is the inherent complexity of the cognitive processes behind human argu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0301140be3b4529bc5f7fdf937045176
https://doi.org/10.1162/tacl_a_00525
https://doi.org/10.1162/tacl_a_00525
In argument search, snippets provide an overview of the aspects discussed by the arguments retrieved for a queried controversial topic. Existing work has focused on generating snippets that are representative of an argument’s content while remainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3d5d7854dab6b9bf9459b2bae777cca
https://doi.org/10.3233/faia220138
https://doi.org/10.3233/faia220138
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:1139-1148
This paper presents a visual analytics system for exploring, analyzing and comparing argument structures in essay corpora. We provide an overview of the corpus by a list of ArguLines which represent the argument units of each essay by a sequence of g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8e47c5e3bef9e5c06deb71b399de93
https://doi.org/10.1109/tvcg.2020.3030425
https://doi.org/10.1109/tvcg.2020.3030425
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5811869d45ee7653381d2adf98d35884
https://doi.org/10.18653/v1/2022.acl-long.306
https://doi.org/10.18653/v1/2022.acl-long.306
Autor:
Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030997380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11593cbd91acf54f852a8c7ceec87f89
https://doi.org/10.1007/978-3-030-99739-7_43
https://doi.org/10.1007/978-3-030-99739-7_43
Autor:
Philipp Cimiano, Reinhold Hab-Umbach, Carsten Schulte, Stefan Kopp, Britta Wrede, Katharina J. Rohlfing, Eyke Hüllermeier, Kirsten Thommes, Ingrid Scharlau, Heike M. Buhl, Axel-Cyrille Ngonga Ngomo, Barbara Hammer, Elena Esposito, Henning Wachsmuth, Angela Grimminger, Hendrik Buschmeier, Friederike Kern, Tobias Matzner, Petra Wagner, Ilona Horwath
The recent surge of interest in explainability in artificial intelligence (XAI) is propelled by not only technological advancements in machine learning but also by regulatory initiatives to foster transparency in algorithmic decision making. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba942c1e851693f351aa3268ac6949da
http://hdl.handle.net/11585/831978
http://hdl.handle.net/11585/831978
Publikováno v:
IJCAI
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 gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5cc77eb12aad7d619d58e056a1918b0
https://doi.org/10.24963/ijcai.2021/77
https://doi.org/10.24963/ijcai.2021/77