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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.
Harms of gender exclusivity and challenges in non-binary representation in language technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff Phillips, and Kai-Wei Chang. 2021 · 1994
Earlier work this paper cites.
On Rhetoric: A Theory of Civic Discourse
Aristotle. ca. 350 B.C.E · 2007
Earlier work this paper cites.
Enabling large-scale deliberation using attention-mediation metrics
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Earlier work this paper cites.
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Earlier work this paper cites.
Detecting good arguments in a non-topic-specific way: An oxymoron?
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Earlier work this paper cites.
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Earlier work this paper cites.
Exploring the role of prior beliefs for argument persuasion
Esin Durmus and Claire Cardie. 2018 · 2018
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Challenge or empower: Revisiting argumentation quality in a news editorial corpus
Roxanne El Baff, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. 2018 · 2018
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Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, and Xuanjing Huang. 2018 · 2018
Earlier work this paper cites.
Before name-calling: Dynamics and triggers of ad hominem fallacies in web argumentation
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. 2018 · 2018
Earlier work this paper cites.
Attentive interaction model: Modeling changes in view in argumentation
Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn Rosé, and Graham Neubig. 2018 · 2018
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Learning to give feedback: Modeling attributes affecting argument persuasiveness in student essays
Zixuan Ke, Winston Carlile, Nishant Gurrapadi, and Vincent Ng. 2018 · 2018
Earlier work this paper cites.
What gets echoed? understanding the “pointers” in explanations of persuasive arguments
David Atkinson, Kumar Bhargav Srinivasan, and Chenhao Tan. 2019 · 2019
Earlier work this paper cites.
Advances in argument mining
Katarzyna Budzynska and Chris Reed. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
A corpus for modeling user and language effects in argumentation on online debating
Esin Durmus and Claire Cardie. 2019 · 2019
Earlier work this paper cites.
The role of pragmatic and discourse context in determining argument impact
Esin Durmus, Faisal Ladhak, and Claire Cardie. 2019 · 2019
Earlier work this paper cites.
Annotating and analyzing semantic role of elementary units and relations in online persuasive arguments
Ryo Egawa, Gaku Morio, and Katsuhide Fujita. 2019 · 2019
Earlier work this paper cites.
Are you convinced? Choosing the more convincing evidence with a Siamese network
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, and Noam Slonim. 2019 · 2019
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Give me more feedback II: Annotating thesis strength and related attributes in student essays
Zixuan Ke, Hrishikesh Inamdar, Hui Lin, and Vincent Ng. 2019 · 2019
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Exploiting personal characteristics of debaters for predicting persuasiveness
Khalid Al Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada, and Benno Stein. 2020 · 2020
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Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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A Persuasive Chatbot Using a Crowd-Sourced Argument Graph and Concerns
Lisa A. Chalaguine and Anthony Hunter. 2020 · 2020
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Does social pressure drive persuasion in online fora?
Ayush Jain and Shashank Srivastava. 2021 · 2021
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Active learning for argument strength estimation
Nataliia Kees, Michael Fromm, Evgeniy Faerman, and Thomas Seidl. 2021 · 2021
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The moral debater: A study on the computational generation of morally framed arguments
Milad Alshomary, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. 2022 · 2022
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Argument mining for review helpfulness prediction
Zaiqian Chen, Daniel Verdi do Amarante, Jenna Donaldson, Yohan Jo, and Joonsuk Park. 2022b · 2022
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Scaling up discourse quality annotation for political science
Neele Falk and Gabriella Lapesa. 2022 · 2022
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Fallacious argument classification in political debates
Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, and Serena Villata. 2022 · 2022
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Lorik Dumani, Patrick J. Neumann, and Ralf Schenkel. 2020 · 2020
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Structure or Content? Towards Assessing Argument Relevance
Marc Feger, Jan Steimann, and Christian Meter. 2020 · 2020
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Efficient pairwise annotation of argument quality
Lukas Gienapp, Benno Stein, Matthias Hagen, and Martin Potthast. 2020 · 2020
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A large-scale dataset for argument quality ranking: Construction and analysis
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, and Noam Slonim. 2020 · 2020
Cited alongside, same era.
Investigating expectations for voice-based and conversational argument search on the web
Johannes Kiesel, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. 2020 · 2020
Cited alongside, same era.
Advances in debating technologies: Building AI that can debate humans
Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, and Noam Slonim. 2021 · 2021
Cited alongside, same era.
ENTRUST: Argument reframing with language models and entailment
Tuhin Chakrabarty, Christopher Hidey, and Smaranda Muresan. 2021 · 2021
Cited alongside, same era.
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Data augmentation for improving the prediction of validity and novelty of argumentative conclusions
Philipp Heinisch, Moritz Plenz, Juri Opitz, Anette Frank, and Philipp Cimiano. 2022 · 2022
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Fair and argumentative language modeling for computational argumentation
Carolin Holtermann, Anne Lauscher, and Simone Ponzetto. 2022 · 2022
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Multi-perspective document revision
Mana Ihori, Hiroshi Sato, Tomohiro Tanaka, and Ryo Masumura. 2022 · 2022
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Logical fallacy detection
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, and Bernhard Schoelkopf. 2022 · 2022
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AI chat assistants can improve conversations about divisive topics
Lisa P. Argyle, Ethan Busby, Joshua Gubler, Chris Bail, Thomas Howe, Christopher Rytting, and David Wingate. 2023 · 2023
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How (not) to use sociodemographic information for subjective NLP tasks
Tilman Beck, Hendrik Schuff, Anne Lauscher, and Iryna Gurevych. 2023 · 2023
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Toward a perspectivist turn in ground truthing for predictive computing
Federico Cabitza, Andrea Campagner, and Valerio Basile. 2023 · 2023
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Marked personas: Using natural language prompts to measure stereotypes in language models
Myra Cheng, Esin Durmus, and Dan Jurafsky. 2023 · 2023
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Score it all together: A multi-task learning study on automatic scoring of argumentative essays
Yuning Ding, Marie Bexte, and Andrea Horbach. 2023 · 2023
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Bridging argument quality and deliberative quality annotations with adapters
Neele Falk and Gabriella Lapesa. 2023 · 2023
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Cross-domain argument quality estimation
Michael Fromm, Max Berrendorf, Evgeniy Faerman, and Thomas Seidl. 2023 · 2023
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Representing and determining argumentative relevance in online discussions: A general approach
Zhen Guo and Munindar P. Singh. 2023 · 2023
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ArgAnalysis35K : A large-scale dataset for argument quality analysis
Omkar Joshi, Priya Pitre, and Yashodhara Haribhakta. 2023 · 2023
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