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pro vyhledávání: '"Wachsmuth, Henning"'
Dialects introduce syntactic and lexical variations in language that occur in regional or social groups. Most NLP methods are not sensitive to such variations. This may lead to unfair behavior of the methods, conveying negative bias towards dialect s
Externí odkaz:
http://arxiv.org/abs/2406.09977
Ensuring that online discussions are civil and productive is a major challenge for social media platforms. Such platforms usually rely both on users and on automated detection tools to flag inappropriate arguments of other users, which moderators the
Externí odkaz:
http://arxiv.org/abs/2406.03363
Autor:
Wachsmuth, Henning
Publikováno v:
Computational Linguistics, Vol 45, Iss 3, Pp 603-606 (2019)
Externí odkaz:
https://doaj.org/article/8f357fa850ed405694faa4e5d0ee7a00
Individual feedback can help students improve their essay writing skills. However, the manual effort required to provide such feedback limits individualization in practice. Automatically-generated essay feedback may serve as an alternative to guide s
Externí odkaz:
http://arxiv.org/abs/2404.15845
Autor:
Stahl, Maja, Michel, Nadine, Kilsbach, Sebastian, Schmidtke, Julian, Rezat, Sara, Wachsmuth, Henning
Learning argumentative writing is challenging. Besides writing fundamentals such as syntax and grammar, learners must select and arrange argument components meaningfully to create high-quality essays. To support argumentative writing computationally,
Externí odkaz:
http://arxiv.org/abs/2404.02529
Autor:
Wachsmuth, Henning, Lapesa, Gabriella, Cabrio, Elena, Lauscher, Anne, Park, Joonsuk, Vecchi, Eva Maria, Villata, Serena, Ziegenbein, Timon
The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, writing education, and the like. A critical task in any such application
Externí odkaz:
http://arxiv.org/abs/2403.16084
Autor:
Alshomary, Milad, Lange, Felix, Booshehri, Meisam, Sengupta, Meghdut, Cimiano, Philipp, Wachsmuth, Henning
Explanations are pervasive in our lives. Mostly, they occur in dialogical form where an {\em explainer} discusses a concept or phenomenon of interest with an {\em explainee}. Leaving the explainee with a clear understanding is not straightforward due
Externí odkaz:
http://arxiv.org/abs/2403.00662
Writing strong arguments can be challenging for learners. It requires to select and arrange multiple argumentative discourse units (ADUs) in a logical and coherent way as well as to decide which ADUs to leave implicit, so called enthymemes. However,
Externí odkaz:
http://arxiv.org/abs/2310.18098
Autor:
Tornede, Alexander, Deng, Difan, Eimer, Theresa, Giovanelli, Joseph, Mohan, Aditya, Ruhkopf, Tim, Segel, Sarah, Theodorakopoulos, Daphne, Tornede, Tanja, Wachsmuth, Henning, Lindauer, Marius
The fields of both Natural Language Processing (NLP) and Automated Machine Learning (AutoML) have achieved remarkable results over the past years. In NLP, especially Large Language Models (LLMs) have experienced a rapid series of breakthroughs very r
Externí odkaz:
http://arxiv.org/abs/2306.08107
Optimizing the phrasing of argumentative text is crucial in higher education and professional development. However, assessing whether and how the different claims in a text should be revised is a hard task, especially for novice writers. In this work
Externí odkaz:
http://arxiv.org/abs/2305.16799