Overview of Touché 2021: Argument Retrieval: Extended Abstract

Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M. & Hagen, M., 2021, Advances in Information Retrieval: 43rd European Conference on IR Research, Proceedings. Hiemstra, D., Moens, M.-F., Mothe, J., Perego, R., Potthast, M. & Sebastiani, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 574-582 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12657 LNCS).

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Overview of Touché 2021: Argument retrieval

Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M. & Hagen, M., 2021, CLEF 2021 Working Notes: Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum Bucharest, Romania, September 21st to 24th, 2021.. p. 2258-2284 27 p. (CEUR Workshop Proceedings; vol. 2936).

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Preface

Ajjour, Y., Al-Khatib, K., Cimiano, P., El Baff, R., Ell, B., Stein, B. & Wachsmuth, H., 2021, Same Side Stance Classification Shared Task 2019: Proceedings of the Same Side Stance Classification Shared Task organized as a part of the 6th Workshop on Argument Mining (ArgMining 2019) and co-located with the the 57th Annual Meeting of the Association for Computational Linguistics (ACL19) . 1 p. (CEUR Workshop Proceedings; vol. 2921).

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Same side stance classification

Stein, B., Ajjour, Y., El Baff, R., Al-Khatib, K., Cimiano, P. & Wachsmuth, H., 2021, Same Side Stance Classification Shared Task 2019: Proceedings of the Same Side Stance Classification Shared Task organized as a part of the 6th Workshop on Argument Mining (ArgMining 2019) and co-located with the the 57th Annual Meeting of the Association for Computational Linguistics (ACL19) . p. 1-7 7 p. (CEUR Workshop Proceedings; vol. 2921).

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Syntopical graphs for computational argumentation tasks

Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V. I., Manjunatha, V., Oard, D. W., Resnik, P. & Wachsmuth, H., 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. Association for Computational Linguistics (ACL), p. 1583-1595 13 p.

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Argument from Old Man's View: Assessing Social Bias in Argumentation

Spliethöver, M. & Wachsmuth, H., Dec 2020, Proceedings of the 7th Workshop on Argument Mining. Cabrio, E. & Villata, S. (eds.). Association for Computational Linguistics (ACL), p. 76-87 12 p.

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Mining Crowdsourcing Problems from Discussion Forums of Workers

Nouri, Z., Wachsmuth, H. & Engels, G., Dec 2020, Proceedings of the 28th International Conference on Computational Linguistics. Scott, D., Bel, N. & Zong, C. (eds.). Association for Computational Linguistics (ACL), p. 6264-6276 13 p.

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Persuasiveness of News Editorials depending on Ideology and Personality

El Baff, R., Al-Khatib, K., Stein, B. & Wachsmuth, H., Dec 2020, Proceedings of the Third Workshop on Computational Modeling of PEople’s Opinions, PersonaLity, and Emotions in Social media. Nissim, M., Patti, V., Plank, B. & Durmus, E. (eds.). Association for Computational Linguistics (ACL), p. 29-40 12 p.

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SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

da San Martino, G., Barrón-Cedeño, A., Wachsmuth, H., Petrov, R. & Nakov, P., Dec 2020, Proceedings of the 14th International Workshop on Semantic Evaluation. Herbelot, A., Zhu, X., Palmer, A., Schneider, N., May, J. & Shutova, E. (eds.). Barcelona , p. 1377-1414 38 p.

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Semi-Supervised Cleansing of Web Argument Corpora

Dorsch, J. & Wachsmuth, H., Dec 2020, Proceedings of the 7th Workshop on Argument Mining. Cabrio, E. & Villata, S. (eds.). Association for Computational Linguistics (ACL), p. 19-29 11 p.

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Task Proposal: Abstractive Snippet Generation for Web Pages

Syed, S., Chen, W. F., Hagen, M., Stein, B., Wachsmuth, H. & Potthast, M., Dec 2020, Proceedings of The 13th International Conference on Natural Language Generation. Davis, B., Graham, Y., Kelleher, J. & Sripada, Y. (eds.). Association for Computational Linguistics (ACL), p. 237-241 5 p.

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Detecting Media Bias in News Articles using Gaussian Bias Distributions

Chen, W. F., Al-Khatib, K., Stein, B. & Wachsmuth, H., Nov 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics (ACL), p. 4290-4300 11 p.

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CauseNet: Towards a Causality Graph Extracted from the Web

Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A. C. & Potthast, M., 19 Oct 2020, CIKM' 2020: Proceedings of the 29th ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM), p. 3023-3030 8 p.

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Extractive Snippet Generation for Arguments

Alshomary, M., Düsterhus, N. & Wachsmuth, H., 25 Jul 2020, SIGIR 2020: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, p. 1969-1972 4 p.

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Analyzing the Persuasive Effect of Style in News Editorial Argumentation

El Baff, R., Wachsmuth, H., Al-Khatib, K. & Stein, B., Jul 2020, Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Jurafsky, D., Chai, J., Schluter, N. & Tetreault, J. (eds.). Association for Computational Linguistics (ACL), p. 3154-3160 7 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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Target Inference in Argument Conclusion Generation

Alshomary, M., Syed, S., Potthast, M. & Wachsmuth, H., Jul 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Jurafsky, D., Chai, J., Schluter, N. & Tetreault, J. (eds.). p. 4334-4345 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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Investigating Expectations for Voice-based and Conversational Argument Search on the Web

Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E. & Stein, B., Mar 2020, CHIIR 2020: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval. New York, p. 53-62 10 p.

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Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

Chen, W., Al-Khatib, K., Wachsmuth, H. & Stein, B., 2020, Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. Bamman, D., Hovy, D., Jurgens, D., O'Connor, B. & Volkova, S. (eds.). Association for Computational Linguistics (ACL), p. 149-154 6 p.

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Intrinsic Quality Assessment of Arguments

Wachsmuth, H. & Werner, T., 2020, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Scott, D., Bel, N. & Zong, C. (eds.). Association for Computational Linguistics (ACL), p. 6739-6745 7 p.

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