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121 Publications


2021 | Conference Paper | LibreCat-ID: 25295
Gurcke, T., Alshomary, M., & Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. Proceedings of the 8th Workshop on Argument Mining, 67–77.
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2013 | Conference Paper | LibreCat-ID: 3876
Wachsmuth, H., Rose, M., & Engels, G. (2013). Automatic Pipeline Construction for Real-Time Annotation. In A. Gelbukh (Ed.), 14th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 38–49).
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2011 | Conference Paper | LibreCat-ID: 3811
Wachsmuth, H., & Bujna, K. (2011). Back to the Roots of Genres: Text Classification by Language Function. 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 (pp. 632–640).
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2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, M., Alshomary, M., & Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 2022 Workshop on Figurative Language Processing.
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2018 | Conference Paper | LibreCat-ID: 3806
Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 386–396).
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2021 | Conference Paper | LibreCat-ID: 21178
Alshomary, M., Chen, W.-F., Gurcke, T., & Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223.
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2021 | Conference Paper | LibreCat-ID: 22156 | OA
Spliethöver, M., & Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 552–559. https://doi.org/10.24963/ijcai.2021/77
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2019 | Book Review | LibreCat-ID: 11713
Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.
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2017 | Conference Paper | LibreCat-ID: 3819
Wachsmuth, H., Potthast, M., Al-Khatib, K., Ajjour, Y., Puschmann, J., Qu, J., … Stein, B. (2017). Building an Argument Search Engine for the Web. In Proceedings of the 4th Workshop on Argument Mining (pp. 49–59).
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2020 | Conference Paper | LibreCat-ID: 20141 | OA
Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., & Potthast, M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–3030. https://doi.org/10.1145/3340531.3412763
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2018 | Conference Paper | LibreCat-ID: 11712
El Baff, R., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 454–464). Association for Computational Linguistics.
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2016 | Conference Abstract | LibreCat-ID: 14883
Ku, L.-W., & Chen, W.-F. (2016). Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts (pp. 5–8).
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2019 | Report | LibreCat-ID: 16847 | OA
Skitalinskaya, G., Klaff, J., & Spliethöver, M. (2019). CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction (Vol. 2380). Lugano, Switzerland.
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2017 | Conference Paper | LibreCat-ID: 3881
Wachsmuth, H., Naderi, N., Hou, Y., Bilu, Y., Prabhakaran, V., Thijm, T. A., … Stein, B. (2017). Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 176–187).
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2019 | Conference Paper | LibreCat-ID: 13144
El Baff, R., Wachsmuth, H., Al-Khatib, K., Stede, M., & Stein, B. (2019). Computational Argumentation Synthesis as a Language Modeling Task. In Proceedings of the 12th International Conference on Natural Language Generation (pp. 54–64). Tokyo, Japan: Association for Computational Linguistics.
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2021 | Mastersthesis | LibreCat-ID: 45787
Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence Models.
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2011 | Conference Paper | LibreCat-ID: 3875
Wachsmuth, H., Stein, B., & Engels, G. (2011). Constructing Efficient Information Extraction Pipelines. In B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, & I. Ruthven (Eds.), 20th ACM International Conference on Information and Knowledge Management (pp. 2237–2240).
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2021 | Conference Paper | LibreCat-ID: 23709
Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.
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2016 | Conference Paper | LibreCat-ID: 3801
Al-Khatib, K., Wachsmuth, H., Hagen, M., Köhler, J., & Stein, B. (2016). Cross-Domain Mining of Argumentative Text through Distant Supervision. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 1395–1404). https://doi.org/10.18653/v1/N16-1165
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2019 | Conference Paper | LibreCat-ID: 11714
Ajjour, Y., Wachsmuth, H., Kiesel, J., Potthast, M., Hagen, M., & Stein, B. (2019). Data Acquisition for Argument Search: The args.me Corpus. In Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence (pp. 48–59).
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