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121 Publications


2021 | Conference Paper | LibreCat-ID: 22158 | OA
Syed, Shahbaz, et al. “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, 2021, pp. 3482–93.
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2017 | Conference Paper | LibreCat-ID: 14884
Chen, Wei-Fan, et al. “How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement.” International Conference on HCI in Business, Government, and Organizations, 2017, pp. 190–202.
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2021 | Conference Paper | LibreCat-ID: 25294
Nouri, Zahra, et al. “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, 2021.
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2023 | Conference Paper | LibreCat-ID: 34083
Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment Feedback Comment Generation.” Proceedings of the 16th International Natural Language Generation Conference.
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2022 | Conference Paper | LibreCat-ID: 22157
Kiesel, Johannes, et al. “Identifying the Human Values behind Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–71.
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2018 | Conference Paper | LibreCat-ID: 21173
Bonfert, Michael, et al. “If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands.” Proceedings of the 20th ACM International Conference on Multimodal Interaction, 2018, doi:10.1145/3242969.3242995.
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2013 | Conference Paper | LibreCat-ID: 3814
Wachsmuth, Henning, et al. “Information Extraction as a Filtering Task.” Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, 2013, pp. 2049–58.
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2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 2020, pp. 6739–45.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel, Johannes, et al. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 2020, pp. 53–62.
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2022 | Conference Abstract | LibreCat-ID: 31068
Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022.
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2019 | Conference Paper | LibreCat-ID: 21177 | OA
Spliethöver, Maximilian, et al. “Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation.” Proceedings of the 6th Workshop on Argument Mining, Association for Computational Linguistics, 2019, pp. 74–82, doi:10.18653/v1/W19-4509.
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2014 | Journal Article | LibreCat-ID: 3905
Abu Quba Rana, Chamsi, et al. “ISoNTRE: The Social Network Transformer into Recommendation Engine.” 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014, pp. 169–75.
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2021 | Conference Paper | LibreCat-ID: 25297
Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–89.
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2022 | Mastersthesis | LibreCat-ID: 29000
Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing. 2022.
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2013 | Conference Paper | LibreCat-ID: 3813
Wachsmuth, Henning, et al. “Learning Efficient Information Extraction on Heterogeneous Texts.” Proceedings of the Sixth International Joint Conference on Natural Language Processing, edited by Alexander Gelbukh, 2013, pp. 534–42.
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2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–29.
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2018 | Conference Paper | LibreCat-ID: 11710
Chen, Wei-Fan, et al. “Learning to Flip the Bias of News Headlines.” Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri, Zahra, et al. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, pp. 6264–76.
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2015 | Conference Paper | LibreCat-ID: 14877
Chen, Wei-Fan, et al. “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example.” 2015 AAAI Spring Symposium Series, 2015.
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2018 | Conference Paper | LibreCat-ID: 3804
Al Khatib, Khalid, et al. “Modeling Deliberative Argumentation Strategies on Wikipedia.” Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 2545–55.
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2019 | Conference Paper | LibreCat-ID: 12931
Ajjour, Yamen, et al. “Modeling Frames in Argumentation.” Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019, pp. 2915–25.
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2014 | Conference Paper | LibreCat-ID: 3877
Wachsmuth, Henning, et al. “Modeling Review Argumentation for Robust Sentiment Analysis.” Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–64.
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2022 | Conference Paper | LibreCat-ID: 34047
Spliethöver, Maximilian, et al. “No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media.” Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022.
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2022 | Journal Article | LibreCat-ID: 34049
Lauscher, Anne, et al. “On the Role of Knowledge in  Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.
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2023 | Book | LibreCat-ID: 45863 | OA
Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797.
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2012 | Conference Paper | LibreCat-ID: 3812
Wachsmuth, Henning, and Benno Stein. “Optimal Scheduling of Information Extraction Algorithms.” Proceedings of COLING 2012: Posters, 2012, pp. 1281–90.
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2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko, Alexander, et al. “Overview of Touché 2020: Argument Retrieval.” CEUR Workshop Proceedings, vol. 2696, 2020, pp. 384–95.
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2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko, Alexander, et al. “Overview of Touché 2021: Argument Retrieval.” Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 2021, pp. 384–95.
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2022 | Book Chapter | LibreCat-ID: 34077
Bondarenko, Alexander, et al. “Overview of Touché 2022: Argument Retrieval.” Lecture Notes in Computer Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-99739-7_43.
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2017 | Conference Paper | LibreCat-ID: 3803
Al Khatib, Khalid, et al. “Patterns of Argumentation Strategies across Topics.” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, pp. 1362–68.
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2014 | Conference Paper | LibreCat-ID: 3805
Brüseke, Frank, et al. “PBlaman: Performance Blame Analysis Based on Palladio Contracts.” Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, no. 12, 2014, pp. 1975–2004.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff, Roxanne, et al. “Persuasiveness of News Editorials Depending on Ideology and Personality.” Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40.
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2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, Henning. Pipelines for Ad-Hoc Large-Scale Text Mining. 2015.
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2016 | Conference Paper | LibreCat-ID: 3880
Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.” Ausgezeichnete Informatikdissertationen 2015, 2016, pp. 329–38.
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2020 | Conference Paper | LibreCat-ID: 21174
Alexandrovsky, Dmitry, et al. “Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy.” Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Association for Computing Machinery, 2020, pp. 32–45, doi:10.1145/3410404.3414222.
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2021 | Mastersthesis | LibreCat-ID: 45788
Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.
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2019 | Conference (Editor) | LibreCat-ID: 15235
Stein, Benno, and Henning Wachsmuth, editors. Proceedings of the 6th Workshop on Argument Mining. Association for Computational Linguistics, 2019.
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2022 | Mastersthesis | LibreCat-ID: 45789
Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames. 2022.
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2018 | Journal Article | LibreCat-ID: 10331
Kiesel, Johannes, et al. “Reproducible Web Corpora.” Journal of Data and Information Quality, 2018, pp. 1–25, doi:10.1145/3239574.
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2014 | Conference Paper | LibreCat-ID: 14874
Chen, Mei-Hua, et al. “RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions.” Proceedings of the AsiaCALL 2014, 2014.
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2018 | Conference Paper | LibreCat-ID: 3821
Wachsmuth, Henning, et al. “Retrieval of the Best Counterargument without Prior Topic Knowledge.” Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 241–51.
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2018 | Conference Paper | LibreCat-ID: 3807
Habernal, Ivan, et al. “SemEval-2018 Task 12: The Argument Reasoning Comprehension Task.” Proceedings of The 12th International Workshop on Semantic Evaluation, 2018, pp. 763–72.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29.
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2015 | Conference Paper | LibreCat-ID: 3815
Wachsmuth, Henning, et al. “Sentiment Flow - A General Model of Web Review Argumentation.” Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, edited by Junichi Tsujii and Jan Hajic, 2015, pp. 601–11, doi:10.18653/v1/D15-1072.
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2007 | Conference Paper | LibreCat-ID: 7970
Arens, Stephan, et al. “Smart Teams: Simulating Large Robotic Swarms in Vast Environments.” Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, Heinz Nixdorf Institut, University of Paderborn, 2007, pp. 215–22.
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2021 | Conference Paper | LibreCat-ID: 22159 | OA
Barrow, Joe, et al. “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), 2021, pp. 1583–95.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web Pages.” Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–41.
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2015 | Conference Paper | LibreCat-ID: 14876
Chen, Mei-Hua, et al. “Technology Enhanced Emotion Expression Learning.” Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI), 2015.
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2015 | Book | LibreCat-ID: 3879
Wachsmuth, Henning. Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining. 2015, doi:http://dx.doi.org/10.1007/978-3-319-25741-9.
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