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88 Publications


2021 | Conference Paper | LibreCat-ID: 22158
Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., & Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. 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): Findings.
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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. 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).
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2021 | Conference Paper | LibreCat-ID: 22159
Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha, V., … Wachsmuth, H. (2021). Syntopical Graphs for Computational Argumentation Tasks. 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).
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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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2021 | Conference Paper | LibreCat-ID: 22156
Spliethöver, M., & Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).
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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. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (pp. 224–223). Online: Association for Computational Linguistics.
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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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2021 | Conference Paper | LibreCat-ID: 22157
Alshomary, M., Syed, S., Dhar, A., Potthast, M., & Wachsmuth, H. (2021). Counter-Argument Generation by Attacking Weak Premises. 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): Findings.
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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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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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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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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. In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science (pp. 149–154).
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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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2020 | Conference Paper | LibreCat-ID: 20139
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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2020 | Conference Paper | LibreCat-ID: 15826
Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive Snippet Generation. In Proceedings of the the Web Conference 2020 (pp. 1309–1319).
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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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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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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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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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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) (pp. 4334–4345). Seattle, USA: Association for Computational Linguistics.
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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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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.
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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. In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020) (pp. 237–241).
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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. In Findings of the Association for Computational Linguistics: EMNLP 2020 (pp. 4290–4300).
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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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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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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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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. In Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom (pp. 76–82).
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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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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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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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2019 | Book Review | LibreCat-ID: 11713
Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.
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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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2018 | Journal Article | LibreCat-ID: 10331
Kiesel, J., Kneist, F., Alshomary, M., Stein, B., Hagen, M., & Potthast, M. (2018). Reproducible Web Corpora. Journal of Data and Information Quality, 1–25. https://doi.org/10.1145/3239574
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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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2018 | Journal Article | LibreCat-ID: 14888
Chen W.-F., & Ku L.-W. (2018). 中文情感語意分析套件 CSentiPackage 發展與應用. 圖書館學與資訊科學.
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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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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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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. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 79–88). Association for Computational Linguistics.
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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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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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2018 | Conference Paper | LibreCat-ID: 14885
Potthast, M., Chen, W.-F., Hagen, M., & Stein, B. (2018). A Plan for Ancillary Copyright: Original Snippets. In Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval (pp. 3–5).
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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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2018 | Conference Paper | LibreCat-ID: 14873
Chen, W.-F., Hagen, M., Stein, B., & Potthast, M. (2018). A User Study on Snippet Generation: Text Reuse vs. Paraphrases. In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (pp. 1033–1036).
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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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2018 | Journal Article | LibreCat-ID: 14886
Chen, W.-F., & Ku, L.-W. (2018). We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling. IEEE Transactions on Knowledge and Data Engineering, 30(10), 2013–2023.
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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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2018 | Journal Article | LibreCat-ID: 14887
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2018). Application of Sentiment Analysis to Language Learning. IEEE Access, 6, 24433–24442.
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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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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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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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2017 | Conference Paper | LibreCat-ID: 3904
Hagen, M., Kiesel, J., Alshomary, M., & Stein, B. (2017). Webis at the CLEF 2017 Dynamic Search Lab. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum.
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2017 | Conference Paper | LibreCat-ID: 14884
Chen, W.-F., Chen, Y.-P., & Ku, L.-W. (2017). How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement. In International Conference on HCI in Business, Government, and Organizations (pp. 190–202).
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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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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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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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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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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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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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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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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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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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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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2016 | Conference Paper | LibreCat-ID: 14881
Chen, W.-F., & Ku, L.-W. (2016). UTCNN: a Deep Learning Model of Stance Classification on Social Media Text. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics (pp. 1635–1645).
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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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2016 | Conference Paper | LibreCat-ID: 14882
Chen, W.-F., Lin, F.-Y., & Ku, L.-W. (2016). WordForce: Visualizing Controversial Words in Debates. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations (pp. 273–277).
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2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.
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2015 | Conference Paper | LibreCat-ID: 14876
Chen, Mei-Hua, Chen, W.-F., & Ku, Lun-Wei. (2015). Technology Enhanced Emotion Expression Learning. In Proceedings of the sixth joint Foreign Language Education and Technology Conference (FLEAT VI).
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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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2015 | Conference Paper | LibreCat-ID: 14877
Chen, W.-F., Ku, L.-W., & Lee, Y.-H. (2015). Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example. In 2015 AAAI Spring Symposium Series.
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2015 | Conference Paper | LibreCat-ID: 14878
Chen, W.-F., Lee, Y.-H., & Ku, L.-W. (2015). Topic-based Stance Mining for Social Media Texts. In International Conference on HCI in Business (pp. 22–33).
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2015 | Journal Article | LibreCat-ID: 14879
Chen, W.-F., Chen, M.-H., Chen, M.-L., & Ku, L.-W. (2015). A Computer-assistance Learning System for Emotional Wording. IEEE Transactions on Knowledge and Data Engineering, 28(5), 1093–1104.
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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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2015 | Conference Paper | LibreCat-ID: 14875
Chen, W.-F., Chen, M., & Ku, L.-W. (2015). Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording. In Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications (pp. 144–153).
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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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2014 | Journal Article | LibreCat-ID: 3905
Abu Quba Rana, C., Hassas, S., Usama, F., Alshomary, M., & Gertosio, C. (2014). iSoNTRE: The Social Network Transformer into Recommendation Engine. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 169–175.
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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).
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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).
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2014 | Conference Paper | LibreCat-ID: 14874
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2014). RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In Proceedings of the AsiaCALL 2014.
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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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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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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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2012 | Conference Paper | LibreCat-ID: 14871
Chen, W.-F., Kuo, C.-K., Wang, Y.-R., & Chen, S.-H. (2012). A Syllable-based Prosody Modeling for L1 and L2 English Speeches. In Proceedings of the 8th International Symposium on Chinese Spoken Language Processing (pp. 281–285). IEEE.
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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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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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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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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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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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