Henning Wachsmuth

Social Media in soziotechnischen Systemen
henningw@uni-paderborn.de
ID
3900

88 Publications

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[88]
2023 | Conference Paper | LibreCat-ID: 34083
Stahl, M., & Wachsmuth, H. (n.d.). Identifying Feedback Types to Augment Feedback Comment Generation. Proceedings of the 16th International Natural Language Generation Conference. 16th International Natural Language Generation Conference.
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[87]
2023 | Book | LibreCat-ID: 45863 | OA
Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797
LibreCat | Files available | DOI
 
[86]
2022 | Conference Paper | LibreCat-ID: 30840
Alshomary, M., El Baff, R., Gurcke, T., & Wachsmuth, H. (2022). The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 8782–8797.
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[85]
2022 | Conference Paper | LibreCat-ID: 33004
Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain. Proceedings of the 29th International Conference on Computational Linguistics, 344–354.
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[84]
2022 | Journal Article | LibreCat-ID: 34049
Lauscher, A., Wachsmuth, H., Gurevych, I., & Glavaš, G. (2022). On the Role of Knowledge in  Computational Argumentation. Transactions of the Association for Computational Linguistics.
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[83]
2022 | Conference Paper | LibreCat-ID: 22157
Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., & Stein, B. (2022). Identifying the Human Values behind Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–4471.
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[82]
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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[81]
2022 | Conference Paper | LibreCat-ID: 34082
Stahl, M., Spliethöver, M., & Wachsmuth, H. (n.d.). To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science. Fifth Workshop on NLP and Computational Social Science (NLP+CSS)  At EMNLP 2022, Abu Dhabi, United Arab Emirates.
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[80]
2022 | Conference Paper | LibreCat-ID: 33274
Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61.
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[79]
2022 | Conference Paper | LibreCat-ID: 32247
Alshomary, M., Rieskamp, J., & Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. Proceedings of the 9th International Conference on Computational Models of Argument, 21–31. http://dx.doi.org/10.3233/FAIA220138
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[78]
2022 | Conference Abstract | LibreCat-ID: 31068
Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL.
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[77]
2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya, G., Klaff, J., & Wachsmuth, H. (2021). Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (pp. 1718–1729).
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[76]
2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., … Hagen, M. (2021). Overview of Touché 2021: Argument Retrieval. In Proceedings of the 43rd annual European Conference on Information Retrieval Research (pp. 384–395).
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[75]
2021 | Conference Paper | LibreCat-ID: 23708 | OA
Nouri, Z., Gadiraju, U., Engels, G., & Wachsmuth, H. (2021). What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 165–175.
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[74]
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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[73]
2021 | Conference Paper | LibreCat-ID: 22158 | OA
Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., & Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. 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): Findings, 3482–3493.
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[72]
2021 | Conference Paper | LibreCat-ID: 22159 | OA
Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha, V., Oard, D., Resnik, P., & Wachsmuth, H. (2021). Syntopical Graphs for Computational Argumentation Tasks. 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), 1583–1595.
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[71]
2021 | Conference Paper | LibreCat-ID: 22160
Al-Khatib, K., Trautner, L., Wachsmuth, H., Hou, Y., & Stein, B. (2021). Employing Argumentation Knowledge Graphs for Neural Argument Generation. 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), 4744–4754.
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[70]
2021 | Conference Paper | LibreCat-ID: 22448
Kiesel, J., Spina, D., Wachsmuth, H., & Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. Proceedings of the 2021 Conversational User Interfaces Conference, 1–5.
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[69]
2021 | Journal Article | LibreCat-ID: 22449
Alshomary, M., & Wachsmuth, H. (2021). Toward Audience-aware Argument Generation. Patterns, 2(6).
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[68]
2021 | Conference Paper | LibreCat-ID: 25297
Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop on Argument Mining, 184–189.
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[67]
2021 | Conference Paper | LibreCat-ID: 25294
Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. (2021). iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021.
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[66]
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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[65]
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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[64]
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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[63]
2021 | Conference Paper | LibreCat-ID: 22229
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. 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), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159
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[62]
2021 | Journal Article | LibreCat-ID: 24456 | OA
Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366
LibreCat | Files available | DOI
 
[61]
2020 | Conference Paper | LibreCat-ID: 20116
Nouri, Z., Wachsmuth, H., & Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6264–6276). Barcelona, Spain.
LibreCat | Files available
 
[60]
2020 | Conference Paper | LibreCat-ID: 20122
El Baff, R., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Persuasiveness of News Editorials depending on Ideology and Personality. In Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020) (pp. 29–40).
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[59]
2020 | Conference Paper | LibreCat-ID: 20139 | OA
Spliethöver, M., & Wachsmuth, H. (2020). Argument from Old Man’s View: Assessing Social Bias in Argumentation. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 76–87).
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[58]
2020 | Conference Paper | LibreCat-ID: 20140
Dorsch, J., & Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument Corpora. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 19–29).
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[57]
2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A., … Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In CEUR Workshop Proceedings (Vol. 2696, pp. 384–395).
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[56]
2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth, H., & Werner, T. (2020). Intrinsic Quality Assessment of Arguments. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6739–6745).
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[55]
2020 | Conference Paper | LibreCat-ID: 3878
El Baff, R., Wachsmuth, H., Al-Khatib, K., & Stein, B. (2020). Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (pp. 553–564).
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[54]
2020 | Conference Paper | LibreCat-ID: 7283
Alshomary, M., Düsterhus, N., & Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1969–1972). Xi’an, China.
LibreCat | Files available
 
[53]
2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., & Stein, B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) (pp. 7367–7374).
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[52]
2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., … Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020) (pp. 517–523).
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[51]
2020 | Conference Paper | LibreCat-ID: 15825
Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., & Stein, B. (2020). Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020) (pp. 53–62).
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[50]
2020 | Journal Article | LibreCat-ID: 10330
Kiesel, D., Riehmann, P., Wachsmuth, H., Stein, B., & Fröhlich, B. (n.d.). Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization & Computer Graphics, 27(2), 1139–1148.
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[49]
2020 | Conference Paper | LibreCat-ID: 3776
Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154.
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[48]
2020 | Conference Paper | LibreCat-ID: 20137
Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
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[47]
2020 | Conference Paper | LibreCat-ID: 3818
Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
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[46]
2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.
LibreCat | Files available
 
[45]
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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[44]
2019 | Conference Paper | LibreCat-ID: 11709
Potthast, M., Gienapp, L., Euchner, F., Heilenkötter, N., Weidmann, N., Wachsmuth, H., … Hagen, M. (2019). Argument Search: Assessing Argument Relevance. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019) (pp. 1117–1120). ACM. https://doi.org/10.1145/3331184.3331327
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[43]
2019 | Book Review | LibreCat-ID: 11713
Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.
LibreCat
 
[42]
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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[41]
2019 | Conference Paper | LibreCat-ID: 12931
Ajjour, Y., Alshomary, M., Wachsmuth, H., & Stein, B. (2019). Modeling Frames in Argumentation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (pp. 2915–2925).
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[40]
2019 | Conference (Editor) | LibreCat-ID: 15235
Stein, B., & Wachsmuth, H. (Eds.). (2019). Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics.
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[39]
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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[38]
2019 | Conference Paper | LibreCat-ID: 10284
Alshomary, M., Völske, M., Licht, T., Wachsmuth, H., Stein, B., Hagen, M., & Potthast, M. (2019). Wikipedia Text Reuse: Within and Without. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.), Advances in Information Retrieval (pp. 747–754). Cham: Springer International Publishing.
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[37]
2019 | Conference Paper | LibreCat-ID: 13259
Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., & Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82.
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[36]
2018 | Conference Paper | LibreCat-ID: 20188
Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 1930–1940).
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[35]
2018 | Conference Paper | LibreCat-ID: 3804
Al Khatib, K., Wachsmuth, H., Lang, K., Herpel, J., Hagen, M., & Stein, B. (2018). Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2545–2555).
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[34]
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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[33]
2018 | Conference Paper | LibreCat-ID: 3807
Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. In Proceedings of The 12th International Workshop on Semantic Evaluation (pp. 763–772).
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[32]
2018 | Conference Paper | LibreCat-ID: 3821
Wachsmuth, H., Syed, S., & Stein, B. (2018). Retrieval of the Best Counterargument without Prior Topic Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 241–251).
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[31]
2018 | Conference Paper | LibreCat-ID: 4236
Wachsmuth, H., Stede, M., El Baff, R., Al Khatib, K., Skeppstedt, M., & Stein, B. (2018). Argumentation Synthesis following Rhetorical Strategies. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3753–3765).
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[30]
2018 | Conference Paper | LibreCat-ID: 11711
Ajjour, Y., Wachsmuth, H., Kiesel, D., Riehmann, P., Fan, F., Castiglia, G., … Stein, B. (2018). Visualization of the Topic Space of Argument Search Results in args. me. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 60–65).
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[29]
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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[28]
2018 | Conference Paper | LibreCat-ID: 11710
Chen, W.-F., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88.
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[27]
2017 | Conference Paper | LibreCat-ID: 3751
Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., & Stein, B. (2017). Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop on Argument Mining (pp. 118–128).
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[26]
2017 | Conference Paper | LibreCat-ID: 3803
Al Khatib, K., Wachsmuth, H., Hagen, M., & Stein, B. (2017). Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1362–1368).
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[25]
2017 | Conference Paper | LibreCat-ID: 3809
Kiesel, J., Wachsmuth, H., Al Khatib, K., & Stein, B. (2017). WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 13–16).
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[24]
2017 | Conference Paper | LibreCat-ID: 3817
Wachsmuth, H., Stein, B., & Ajjour, Y. (2017). “Page Rank’’’ for Argument Relevance.” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 1117–1127).
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[23]
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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[22]
2017 | Conference Paper | LibreCat-ID: 3820
Wachsmuth, H., Da San Martino, G., Kiesel, D., & Stein, B. (2017). The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2369–2379).
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[21]
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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[20]
2017 | Journal Article | LibreCat-ID: 3882
Wachsmuth, H., & Stein, B. (2017). A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, (3), 1–24.
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[19]
2017 | Conference Paper | LibreCat-ID: 3883
Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., & Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250–255). https://doi.org/10.18653/v1/P17-2039
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[18]
2016 | Conference Paper | LibreCat-ID: 3747
Al Khatib, K., Wachsmuth, H., Kiesel, J., Hagen, M., & Stein, B. (2016). A News Editorial Corpus for Mining Argumentation Strategies. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 3433–3443).
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[17]
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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[16]
2016 | Conference Paper | LibreCat-ID: 3816
Wachsmuth, H., Al Khatib, K., & Stein, B. (2016). Using Argument Mining to Assess the Argumentation Quality of Essays. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 1680–1691).
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[15]
2016 | Conference Paper | LibreCat-ID: 3880
Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In Ausgezeichnete Informatikdissertationen 2015 (pp. 329–338).
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[14]
2015 | Conference Paper | LibreCat-ID: 3815
Wachsmuth, H., Kiesel, J., & Stein, B. (2015). Sentiment Flow - A General Model of Web Review Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (pp. 601–611). https://doi.org/10.18653/v1/D15-1072
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[13]
2015 | Book | LibreCat-ID: 3879
Wachsmuth, H. (2015). Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining. http://dx.doi.org/10.1007/978-3-319-25741-9
LibreCat | DOI
 
[12]
2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.
LibreCat | Files available
 
[11]
2014 | Conference Paper | LibreCat-ID: 20142
Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., & Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 115–127).
LibreCat
 
[10]
2014 | Conference Paper | LibreCat-ID: 3805
Brüseke, F., Wachsmuth, H., Engels, G., & Becker, S. (2014). PBlaman: performance blame analysis based on Palladio contracts. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment (pp. 1975–2004).
LibreCat
 
[9]
2014 | Conference Paper | LibreCat-ID: 3877
Wachsmuth, H., Trenkmann, M., Stein, B., & Engels, G. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (pp. 553–564).
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[8]
2013 | Conference Paper | LibreCat-ID: 3813
Wachsmuth, H., Stein, B., & Engels, G. (2013). Learning Efficient Information Extraction on Heterogeneous Texts. In A. Gelbukh (Ed.), Proceedings of the Sixth International Joint Conference on Natural Language Processing (pp. 534–542).
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[7]
2013 | Conference Paper | LibreCat-ID: 3814
Wachsmuth, H., Stein, B., & Engels, G. (2013). Information Extraction as a Filtering Task. In Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management (pp. 2049–2058).
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[6]
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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[5]
2012 | Conference Paper | LibreCat-ID: 3812
Wachsmuth, H., & Stein, B. (2012). Optimal Scheduling of Information Extraction Algorithms. In Proceedings of COLING 2012: Posters (pp. 1281–1290).
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[4]
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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[3]
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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[2]
2010 | Conference Paper | LibreCat-ID: 3810
Wachsmuth, H., Prettenhofer, P., & Stein, B. (2010). Efficient Statement Identification for Automatic Market Forecasting. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010) (pp. 1128–1136).
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[1]
2007 | Conference Paper | LibreCat-ID: 7970
Arens, S., Buss, A., Deck, H., Dynia, M., Fischer, M., Hagedorn, H., … Wachsmuth, H. (2007). Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment (pp. 215–222). Buenos Aires, Argentina: Heinz Nixdorf Institut, University of Paderborn.
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[88]
2023 | Conference Paper | LibreCat-ID: 34083
Stahl, M., & Wachsmuth, H. (n.d.). Identifying Feedback Types to Augment Feedback Comment Generation. Proceedings of the 16th International Natural Language Generation Conference. 16th International Natural Language Generation Conference.
LibreCat
 
[87]
2023 | Book | LibreCat-ID: 45863 | OA
Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797
LibreCat | Files available | DOI
 
[86]
2022 | Conference Paper | LibreCat-ID: 30840
Alshomary, M., El Baff, R., Gurcke, T., & Wachsmuth, H. (2022). The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 8782–8797.
LibreCat
 
[85]
2022 | Conference Paper | LibreCat-ID: 33004
Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain. Proceedings of the 29th International Conference on Computational Linguistics, 344–354.
LibreCat
 
[84]
2022 | Journal Article | LibreCat-ID: 34049
Lauscher, A., Wachsmuth, H., Gurevych, I., & Glavaš, G. (2022). On the Role of Knowledge in  Computational Argumentation. Transactions of the Association for Computational Linguistics.
LibreCat
 
[83]
2022 | Conference Paper | LibreCat-ID: 22157
Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., & Stein, B. (2022). Identifying the Human Values behind Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–4471.
LibreCat
 
[82]
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.
LibreCat
 
[81]
2022 | Conference Paper | LibreCat-ID: 34082
Stahl, M., Spliethöver, M., & Wachsmuth, H. (n.d.). To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science. Fifth Workshop on NLP and Computational Social Science (NLP+CSS)  At EMNLP 2022, Abu Dhabi, United Arab Emirates.
LibreCat
 
[80]
2022 | Conference Paper | LibreCat-ID: 33274
Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61.
LibreCat
 
[79]
2022 | Conference Paper | LibreCat-ID: 32247
Alshomary, M., Rieskamp, J., & Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. Proceedings of the 9th International Conference on Computational Models of Argument, 21–31. http://dx.doi.org/10.3233/FAIA220138
LibreCat | DOI
 
[78]
2022 | Conference Abstract | LibreCat-ID: 31068
Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL.
LibreCat
 
[77]
2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya, G., Klaff, J., & Wachsmuth, H. (2021). Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (pp. 1718–1729).
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[76]
2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., … Hagen, M. (2021). Overview of Touché 2021: Argument Retrieval. In Proceedings of the 43rd annual European Conference on Information Retrieval Research (pp. 384–395).
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[75]
2021 | Conference Paper | LibreCat-ID: 23708 | OA
Nouri, Z., Gadiraju, U., Engels, G., & Wachsmuth, H. (2021). What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 165–175.
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[74]
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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[73]
2021 | Conference Paper | LibreCat-ID: 22158 | OA
Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., & Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. 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): Findings, 3482–3493.
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[72]
2021 | Conference Paper | LibreCat-ID: 22159 | OA
Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha, V., Oard, D., Resnik, P., & Wachsmuth, H. (2021). Syntopical Graphs for Computational Argumentation Tasks. 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), 1583–1595.
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[71]
2021 | Conference Paper | LibreCat-ID: 22160
Al-Khatib, K., Trautner, L., Wachsmuth, H., Hou, Y., & Stein, B. (2021). Employing Argumentation Knowledge Graphs for Neural Argument Generation. 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), 4744–4754.
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[70]
2021 | Conference Paper | LibreCat-ID: 22448
Kiesel, J., Spina, D., Wachsmuth, H., & Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. Proceedings of the 2021 Conversational User Interfaces Conference, 1–5.
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[69]
2021 | Journal Article | LibreCat-ID: 22449
Alshomary, M., & Wachsmuth, H. (2021). Toward Audience-aware Argument Generation. Patterns, 2(6).
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[68]
2021 | Conference Paper | LibreCat-ID: 25297
Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop on Argument Mining, 184–189.
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[67]
2021 | Conference Paper | LibreCat-ID: 25294
Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. (2021). iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021.
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[66]
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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[65]
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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[64]
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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[63]
2021 | Conference Paper | LibreCat-ID: 22229
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. 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), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159
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[62]
2021 | Journal Article | LibreCat-ID: 24456 | OA
Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366
LibreCat | Files available | DOI
 
[61]
2020 | Conference Paper | LibreCat-ID: 20116
Nouri, Z., Wachsmuth, H., & Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6264–6276). Barcelona, Spain.
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[60]
2020 | Conference Paper | LibreCat-ID: 20122
El Baff, R., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Persuasiveness of News Editorials depending on Ideology and Personality. In Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020) (pp. 29–40).
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[59]
2020 | Conference Paper | LibreCat-ID: 20139 | OA
Spliethöver, M., & Wachsmuth, H. (2020). Argument from Old Man’s View: Assessing Social Bias in Argumentation. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 76–87).
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[58]
2020 | Conference Paper | LibreCat-ID: 20140
Dorsch, J., & Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument Corpora. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 19–29).
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[57]
2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A., … Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In CEUR Workshop Proceedings (Vol. 2696, pp. 384–395).
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[56]
2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth, H., & Werner, T. (2020). Intrinsic Quality Assessment of Arguments. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6739–6745).
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[55]
2020 | Conference Paper | LibreCat-ID: 3878
El Baff, R., Wachsmuth, H., Al-Khatib, K., & Stein, B. (2020). Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (pp. 553–564).
LibreCat
 
[54]
2020 | Conference Paper | LibreCat-ID: 7283
Alshomary, M., Düsterhus, N., & Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1969–1972). Xi’an, China.
LibreCat | Files available
 
[53]
2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., & Stein, B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) (pp. 7367–7374).
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[52]
2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., … Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020) (pp. 517–523).
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[51]
2020 | Conference Paper | LibreCat-ID: 15825
Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., & Stein, B. (2020). Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020) (pp. 53–62).
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[50]
2020 | Journal Article | LibreCat-ID: 10330
Kiesel, D., Riehmann, P., Wachsmuth, H., Stein, B., & Fröhlich, B. (n.d.). Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization & Computer Graphics, 27(2), 1139–1148.
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[49]
2020 | Conference Paper | LibreCat-ID: 3776
Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154.
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[48]
2020 | Conference Paper | LibreCat-ID: 20137
Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
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[47]
2020 | Conference Paper | LibreCat-ID: 3818
Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
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[46]
2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.
LibreCat | Files available
 
[45]
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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[44]
2019 | Conference Paper | LibreCat-ID: 11709
Potthast, M., Gienapp, L., Euchner, F., Heilenkötter, N., Weidmann, N., Wachsmuth, H., … Hagen, M. (2019). Argument Search: Assessing Argument Relevance. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019) (pp. 1117–1120). ACM. https://doi.org/10.1145/3331184.3331327
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[43]
2019 | Book Review | LibreCat-ID: 11713
Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.
LibreCat
 
[42]
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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[41]
2019 | Conference Paper | LibreCat-ID: 12931
Ajjour, Y., Alshomary, M., Wachsmuth, H., & Stein, B. (2019). Modeling Frames in Argumentation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (pp. 2915–2925).
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[40]
2019 | Conference (Editor) | LibreCat-ID: 15235
Stein, B., & Wachsmuth, H. (Eds.). (2019). Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics.
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[39]
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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[38]
2019 | Conference Paper | LibreCat-ID: 10284
Alshomary, M., Völske, M., Licht, T., Wachsmuth, H., Stein, B., Hagen, M., & Potthast, M. (2019). Wikipedia Text Reuse: Within and Without. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.), Advances in Information Retrieval (pp. 747–754). Cham: Springer International Publishing.
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[37]
2019 | Conference Paper | LibreCat-ID: 13259
Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., & Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82.
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[36]
2018 | Conference Paper | LibreCat-ID: 20188
Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 1930–1940).
LibreCat
 
[35]
2018 | Conference Paper | LibreCat-ID: 3804
Al Khatib, K., Wachsmuth, H., Lang, K., Herpel, J., Hagen, M., & Stein, B. (2018). Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2545–2555).
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[34]
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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[33]
2018 | Conference Paper | LibreCat-ID: 3807
Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. In Proceedings of The 12th International Workshop on Semantic Evaluation (pp. 763–772).
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[32]
2018 | Conference Paper | LibreCat-ID: 3821
Wachsmuth, H., Syed, S., & Stein, B. (2018). Retrieval of the Best Counterargument without Prior Topic Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 241–251).
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[31]
2018 | Conference Paper | LibreCat-ID: 4236
Wachsmuth, H., Stede, M., El Baff, R., Al Khatib, K., Skeppstedt, M., & Stein, B. (2018). Argumentation Synthesis following Rhetorical Strategies. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3753–3765).
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[30]
2018 | Conference Paper | LibreCat-ID: 11711
Ajjour, Y., Wachsmuth, H., Kiesel, D., Riehmann, P., Fan, F., Castiglia, G., … Stein, B. (2018). Visualization of the Topic Space of Argument Search Results in args. me. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 60–65).
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[29]
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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[28]
2018 | Conference Paper | LibreCat-ID: 11710
Chen, W.-F., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88.
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[27]
2017 | Conference Paper | LibreCat-ID: 3751
Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., & Stein, B. (2017). Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop on Argument Mining (pp. 118–128).
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[26]
2017 | Conference Paper | LibreCat-ID: 3803
Al Khatib, K., Wachsmuth, H., Hagen, M., & Stein, B. (2017). Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1362–1368).
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[25]
2017 | Conference Paper | LibreCat-ID: 3809
Kiesel, J., Wachsmuth, H., Al Khatib, K., & Stein, B. (2017). WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 13–16).
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[24]
2017 | Conference Paper | LibreCat-ID: 3817
Wachsmuth, H., Stein, B., & Ajjour, Y. (2017). “Page Rank’’’ for Argument Relevance.” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 1117–1127).
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[23]
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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[22]
2017 | Conference Paper | LibreCat-ID: 3820
Wachsmuth, H., Da San Martino, G., Kiesel, D., & Stein, B. (2017). The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2369–2379).
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[21]
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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[20]
2017 | Journal Article | LibreCat-ID: 3882
Wachsmuth, H., & Stein, B. (2017). A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, (3), 1–24.
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[19]
2017 | Conference Paper | LibreCat-ID: 3883
Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., & Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250–255). https://doi.org/10.18653/v1/P17-2039
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[18]
2016 | Conference Paper | LibreCat-ID: 3747
Al Khatib, K., Wachsmuth, H., Kiesel, J., Hagen, M., & Stein, B. (2016). A News Editorial Corpus for Mining Argumentation Strategies. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 3433–3443).
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[17]
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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[16]
2016 | Conference Paper | LibreCat-ID: 3816
Wachsmuth, H., Al Khatib, K., & Stein, B. (2016). Using Argument Mining to Assess the Argumentation Quality of Essays. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 1680–1691).
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[15]
2016 | Conference Paper | LibreCat-ID: 3880
Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In Ausgezeichnete Informatikdissertationen 2015 (pp. 329–338).
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[14]
2015 | Conference Paper | LibreCat-ID: 3815
Wachsmuth, H., Kiesel, J., & Stein, B. (2015). Sentiment Flow - A General Model of Web Review Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (pp. 601–611). https://doi.org/10.18653/v1/D15-1072
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[13]
2015 | Book | LibreCat-ID: 3879
Wachsmuth, H. (2015). Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining. http://dx.doi.org/10.1007/978-3-319-25741-9
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[12]
2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.
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[11]
2014 | Conference Paper | LibreCat-ID: 20142
Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., & Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 115–127).
LibreCat
 
[10]
2014 | Conference Paper | LibreCat-ID: 3805
Brüseke, F., Wachsmuth, H., Engels, G., & Becker, S. (2014). PBlaman: performance blame analysis based on Palladio contracts. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment (pp. 1975–2004).
LibreCat
 
[9]
2014 | Conference Paper | LibreCat-ID: 3877
Wachsmuth, H., Trenkmann, M., Stein, B., & Engels, G. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (pp. 553–564).
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[8]
2013 | Conference Paper | LibreCat-ID: 3813
Wachsmuth, H., Stein, B., & Engels, G. (2013). Learning Efficient Information Extraction on Heterogeneous Texts. In A. Gelbukh (Ed.), Proceedings of the Sixth International Joint Conference on Natural Language Processing (pp. 534–542).
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[7]
2013 | Conference Paper | LibreCat-ID: 3814
Wachsmuth, H., Stein, B., & Engels, G. (2013). Information Extraction as a Filtering Task. In Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management (pp. 2049–2058).
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[6]
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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[5]
2012 | Conference Paper | LibreCat-ID: 3812
Wachsmuth, H., & Stein, B. (2012). Optimal Scheduling of Information Extraction Algorithms. In Proceedings of COLING 2012: Posters (pp. 1281–1290).
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[4]
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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[3]
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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[2]
2010 | Conference Paper | LibreCat-ID: 3810
Wachsmuth, H., Prettenhofer, P., & Stein, B. (2010). Efficient Statement Identification for Automatic Market Forecasting. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010) (pp. 1128–1136).
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[1]
2007 | Conference Paper | LibreCat-ID: 7970
Arens, S., Buss, A., Deck, H., Dynia, M., Fischer, M., Hagedorn, H., … Wachsmuth, H. (2007). Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment (pp. 215–222). Buenos Aires, Argentina: Heinz Nixdorf Institut, University of Paderborn.
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