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121 Publications


2022 | Conference Paper | LibreCat-ID: 33004
"Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue Corpus for Learning How to Explain
H. Wachsmuth, M. Alshomary, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.
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2017 | Conference Paper | LibreCat-ID: 3817
"Page Rank'' for Argument Relevance
H. Wachsmuth, B. Stein, Y. Ajjour, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 1117–1127.
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2015 | Journal Article | LibreCat-ID: 14879
A Computer-assistance Learning System for Emotional Wording
W.-F. Chen, M.-H. Chen, M.-L. Chen, L.-W. Ku, IEEE Transactions on Knowledge and Data Engineering 28 (2015) 1093–1104.
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2016 | Conference Paper | LibreCat-ID: 3747
A News Editorial Corpus for Mining Argumentation Strategies
K. Al Khatib, H. Wachsmuth, J. Kiesel, M. Hagen, B. Stein, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–3443.
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2018 | Conference Paper | LibreCat-ID: 14885
A Plan for Ancillary Copyright: Original Snippets.
M. Potthast, W.-F. Chen, M. Hagen, B. Stein, in: Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.
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2014 | Conference Paper | LibreCat-ID: 20142
A Review Corpus for Argumentation Analysis
H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, T. Palakarska, in: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.
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2012 | Conference Paper | LibreCat-ID: 14871
A Syllable-based Prosody Modeling for L1 and L2 English Speeches
W.-F. Chen, C.-K. Kuo, Y.-R. Wang, S.-H. Chen, in: Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, IEEE, 2012, pp. 281–285.
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2017 | Journal Article | LibreCat-ID: 3882
A Universal Model for Discourse-Level Argumentation Analysis
H. Wachsmuth, B. Stein, Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media (2017) 1–24.
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2018 | Conference Paper | LibreCat-ID: 14873
A User Study on Snippet Generation: Text Reuse vs. Paraphrases
W.-F. Chen, M. Hagen, B. Stein, M. Potthast, in: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–1036.
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2020 | Conference Paper | LibreCat-ID: 15826
Abstractive Snippet Generation
W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.
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2022 | Conference Paper | LibreCat-ID: 33274
Analyzing Culture-Specific Argument Structures in Learner Essays
W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
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2020 | Conference Paper | LibreCat-ID: 3776
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154.
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2020 | Conference Paper | LibreCat-ID: 3878
Analyzing the Persuasive Effect of Style in News Editorial Argumentation
R. El Baff, H. Wachsmuth, K. Al-Khatib, B. Stein, in: J. Tsujii, J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, 2020, pp. 553–564.
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2018 | Journal Article | LibreCat-ID: 14887
Application of Sentiment Analysis to Language Learning
M.-H. Chen, W.-F. Chen, L.-W. Ku, IEEE Access 6 (2018) 24433–24442.
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2020 | Conference Paper | LibreCat-ID: 20139 | OA
Argument from Old Man's View: Assessing Social Bias in Argumentation
M. Spliethöver, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.
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2022 | Conference Paper | LibreCat-ID: 34051
Argument Novelty and Validity Assessment via Multitask and Transfer Learning
M. Alshomary, M. Stahl, in: Proceedings of the 9th Workshop on Argument Mining, International Conference on Computational Linguistics, Online and in Gyeongju, Republic of Korea, 2022, pp. 111–114.
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2019 | Conference Paper | LibreCat-ID: 11709
Argument Search: Assessing Argument Relevance
M. Potthast, L. Gienapp, F. Euchner, N. Heilenkötter, N. Weidmann, H. Wachsmuth, B. Stein, M. Hagen, in: 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), ACM, 2019, pp. 1117–1120.
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2021 | Conference Paper | LibreCat-ID: 22229
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
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.
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2017 | Conference Paper | LibreCat-ID: 3883
Argumentation Quality Assessment: Theory vs. Practice
H. Wachsmuth, N. Naderi, I. Habernal, Y. Hou, G. Hirst, I. Gurevych, B. Stein, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–255.
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2018 | Conference Paper | LibreCat-ID: 4236
Argumentation Synthesis following Rhetorical Strategies
H. Wachsmuth, M. Stede, R. El Baff, K. Al Khatib, M. Skeppstedt, B. Stein, in: Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–3765.
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2021 | Conference Paper | LibreCat-ID: 25295
Assessing the Sufficiency of Arguments through Conclusion Generation
T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.
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2013 | Conference Paper | LibreCat-ID: 3876
Automatic Pipeline Construction for Real-Time Annotation
H. Wachsmuth, M. Rose, G. Engels, in: A. Gelbukh (Ed.), 14th International Conference on Intelligent Text Processing and Computational Linguistics, 2013, pp. 38–49.
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2011 | Conference Paper | LibreCat-ID: 3811
Back to the Roots of Genres: Text Classification by Language Function
H. Wachsmuth, K. Bujna, in: B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, I. Ruthven (Eds.), Proceedings of 5th International Joint Conference on Natural Language Processing, 2011, pp. 632–640.
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2022 | Conference Paper | LibreCat-ID: 34067
Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning
M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
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2018 | Conference Paper | LibreCat-ID: 3806
Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
I. Habernal, H. Wachsmuth, I. Gurevych, B. Stein, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018, pp. 386–396.
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2021 | Conference Paper | LibreCat-ID: 21178
Belief-based Generation of Argumentative Claims
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. 224–223.
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2021 | Conference Paper | LibreCat-ID: 22156 | OA
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.
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2019 | Book Review | LibreCat-ID: 11713
Book Review: Argumentation Mining
H. Wachsmuth, Computational Linguistics 45 (2019) 603–606.
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2017 | Conference Paper | LibreCat-ID: 3819
Building an Argument Search Engine for the Web
H. Wachsmuth, M. Potthast, K. Al-Khatib, Y. Ajjour, J. Puschmann, J. Qu, J. Dorsch, V. Morari, J. Bevendorff, B. Stein, in: Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49–59.
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2020 | Conference Paper | LibreCat-ID: 20141 | OA
CauseNet: Towards a Causality Graph Extracted from the Web
S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, M. Potthast, in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–3030.
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2018 | Conference Paper | LibreCat-ID: 11712
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus
R. El Baff, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the 22nd Conference on Computational Natural Language Learning, Association for Computational Linguistics, 2018, pp. 454–464.
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2016 | Conference Abstract | LibreCat-ID: 14883
Chinese Textual Sentiment Analysis: Datasets, Resources and Tools
L.-W. Ku, W.-F. Chen, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.
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2019 | Report | LibreCat-ID: 16847 | OA
CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction
G. Skitalinskaya, J. Klaff, M. Spliethöver, CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction, Lugano, Switzerland, 2019.
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2017 | Conference Paper | LibreCat-ID: 3881
Computational Argumentation Quality Assessment in Natural Language
H. Wachsmuth, N. Naderi, Y. Hou, Y. Bilu, V. Prabhakaran, T.A. Thijm, G. Hirst, B. Stein, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 176–187.
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2019 | Conference Paper | LibreCat-ID: 13144
Computational Argumentation Synthesis as a Language Modeling Task
R. El Baff, H. Wachsmuth, K. Al-Khatib, M. Stede, B. Stein, in: Proceedings of the 12th International Conference on Natural Language Generation, Association for Computational Linguistics, 2019, pp. 54–64.
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2021 | Mastersthesis | LibreCat-ID: 45787
Computational Text Professionalization using Neural Sequence-to-Sequence Models
A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021.
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2011 | Conference Paper | LibreCat-ID: 3875
Constructing Efficient Information Extraction Pipelines
H. Wachsmuth, B. Stein, G. Engels, in: B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, I. Ruthven (Eds.), 20th ACM International Conference on Information and Knowledge Management, 2011, pp. 2237–2240.
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2021 | Conference Paper | LibreCat-ID: 23709
Controlled Neural Sentence-Level Reframing of News Articles
W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.
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2016 | Conference Paper | LibreCat-ID: 3801
Cross-Domain Mining of Argumentative Text through Distant Supervision
K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, B. Stein, in: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, pp. 1395–1404.
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2019 | Conference Paper | LibreCat-ID: 11714
Data Acquisition for Argument Search: The args.me Corpus
Y. Ajjour, H. Wachsmuth, J. Kiesel, M. Potthast, M. Hagen, B. Stein, in: Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence, 2019, pp. 48–59.
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2020 | Conference Paper | LibreCat-ID: 3818
Detecting Media Bias in News Articles using Gaussian Bias Distributions
W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.
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2023 | Book Chapter | LibreCat-ID: 45882 | OA
Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks
J. Palushi, Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.
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2010 | Conference Paper | LibreCat-ID: 3810
Efficient Statement Identification for Automatic Market Forecasting
H. Wachsmuth, P. Prettenhofer, B. Stein, in: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), 2010, pp. 1128–1136.
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2015 | Conference Paper | LibreCat-ID: 14875
Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording
W.-F. Chen, M. Chen, L.-W. Ku, in: Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015, pp. 144–153.
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2021 | Conference Paper | LibreCat-ID: 22160
Employing Argumentation Knowledge Graphs for Neural Argument Generation
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.
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2020 | Conference Paper | LibreCat-ID: 15820
End-to-End Argumentation Knowledge Graph Construction
K. Al-Khatib, Y. Hou, H. Wachsmuth, C. Jochim, F. Bonin, B. Stein, in: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–7374.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems
K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.
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2020 | Conference Paper | LibreCat-ID: 7283
Extractive Snippet Generation for Arguments
M. Alshomary, N. Düsterhus, H. Wachsmuth, in: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–1972.
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2022 | Conference Paper | LibreCat-ID: 32247
Generating Contrastive Snippets for Argument Search
M. Alshomary, J. Rieskamp, H. Wachsmuth, in: Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31.
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