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121 Publications
2022 | Conference Paper | LibreCat-ID: 33004
Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain. In: Proceedings of the 29th International Conference on Computational Linguistics. ; 2022:344-354.
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2017 | Conference Paper | LibreCat-ID: 3817
Wachsmuth H, Stein B, Ajjour Y. “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. ; 2017:1117-1127.
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2015 | Journal Article | LibreCat-ID: 14879
Chen W-F, Chen M-H, Chen M-L, Ku L-W. A Computer-assistance Learning System for Emotional Wording. IEEE Transactions on Knowledge and Data Engineering. 2015;28(5):1093-1104.
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2016 | Conference Paper | LibreCat-ID: 3747
Al Khatib K, Wachsmuth H, Kiesel J, Hagen M, Stein B. A News Editorial Corpus for Mining Argumentation Strategies. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. ; 2016:3433-3443.
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2018 | Conference Paper | LibreCat-ID: 14885
Potthast M, Chen W-F, Hagen M, Stein B. A Plan for Ancillary Copyright: Original Snippets. In: Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval. ; 2018:3-5.
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2014 | Conference Paper | LibreCat-ID: 20142
Wachsmuth H, Trenkmann M, Stein B, Engels G, Palakarska T. A Review Corpus for Argumentation Analysis. In: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics. ; 2014:115–127.
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2012 | Conference Paper | LibreCat-ID: 14871
Chen W-F, Kuo C-K, Wang Y-R, Chen S-H. A Syllable-based Prosody Modeling for L1 and L2 English Speeches. In: Proceedings of the 8th International Symposium on Chinese Spoken Language Processing. IEEE; 2012:281-285.
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2017 | Journal Article | LibreCat-ID: 3882
Wachsmuth H, Stein B. A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media. 2017;(3):1-24.
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2018 | Conference Paper | LibreCat-ID: 14873
Chen W-F, Hagen M, Stein B, Potthast M. 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. ; 2018:1033-1036.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.
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2022 | Conference Paper | LibreCat-ID: 33274
Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022). ; 2022:51-61.
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2020 | Conference Paper | LibreCat-ID: 3776
Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. 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. ; 2020:149-154.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. ; 2020:553-564.
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2018 | Journal Article | LibreCat-ID: 14887
Chen M-H, Chen W-F, Ku L-W. Application of Sentiment Analysis to Language Learning. IEEE Access. 2018;6:24433-24442.
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2020 | Conference Paper | LibreCat-ID: 20139 | 
Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social Bias in Argumentation. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:76-87.
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2022 | Conference Paper | LibreCat-ID: 34051
Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In: Proceedings of the 9th Workshop on Argument Mining. International Conference on Computational Linguistics; 2022:111–114.
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2019 | Conference Paper | LibreCat-ID: 11709
Potthast M, Gienapp L, Euchner F, et al. Argument Search: Assessing Argument Relevance. In: 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019). ACM; 2019:1117-1120. doi:10.1145/3331184.3331327
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2021 | Conference Paper | LibreCat-ID: 22229
Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: 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 of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159
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2017 | Conference Paper | LibreCat-ID: 3883
Wachsmuth H, Naderi N, Habernal I, et al. Argumentation Quality Assessment: Theory vs. Practice. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). ; 2017:250-255. doi:10.18653/v1/P17-2039
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2018 | Conference Paper | LibreCat-ID: 4236
Wachsmuth H, Stede M, El Baff R, Al Khatib K, Skeppstedt M, Stein B. Argumentation Synthesis following Rhetorical Strategies. In: Proceedings of the 27th International Conference on Computational Linguistics. ; 2018:3753-3765.
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2021 | Conference Paper | LibreCat-ID: 25295
Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:67-77.
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2013 | Conference Paper | LibreCat-ID: 3876
Wachsmuth H, Rose M, Engels G. Automatic Pipeline Construction for Real-Time Annotation. In: Gelbukh A, ed. 14th International Conference on Intelligent Text Processing and Computational Linguistics. Lecture Notes in Computer Science. ; 2013:38-49.
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2011 | Conference Paper | LibreCat-ID: 3811
Wachsmuth H, Bujna K. Back to the Roots of Genres: Text Classification by Language Function. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. Proceedings of 5th International Joint Conference on Natural Language Processing. ; 2011:632-640.
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2022 | Conference Paper | LibreCat-ID: 34067
Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: Proceedings of the 2022 Workshop on Figurative Language Processing. ; 2022.
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2018 | Conference Paper | LibreCat-ID: 3806
Habernal I, Wachsmuth H, Gurevych I, Stein B. 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). ; 2018:386-396.
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2021 | Conference Paper | LibreCat-ID: 21178
Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Association for Computational Linguistics; 2021:224-223.
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2021 | Conference Paper | LibreCat-ID: 22156 |
Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. ; 2021:552-559. doi:10.24963/ijcai.2021/77
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2019 | Book Review | LibreCat-ID: 11713
Wachsmuth H. Book Review: Argumentation Mining. Computational Linguistics. 2019;45(3):603-606.
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2017 | Conference Paper | LibreCat-ID: 3819
Wachsmuth H, Potthast M, Al-Khatib K, et al. Building an Argument Search Engine for the Web. In: Proceedings of the 4th Workshop on Argument Mining. ; 2017:49-59.
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2020 | Conference Paper | LibreCat-ID: 20141 |
Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020). ; 2020:3023-3030. doi:10.1145/3340531.3412763
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2018 | Conference Paper | LibreCat-ID: 11712
El Baff R, Wachsmuth H, Al Khatib K, Stein B. Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In: Proceedings of the 22nd Conference on Computational Natural Language Learning. Association for Computational Linguistics; 2018:454-464.
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2016 | Conference Abstract | LibreCat-ID: 14883
Ku L-W, Chen W-F. Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts. ; 2016:5-8.
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2019 | Report | LibreCat-ID: 16847 |
Skitalinskaya G, Klaff J, Spliethöver M. CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction. Vol 2380. Lugano, Switzerland; 2019.
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2017 | Conference Paper | LibreCat-ID: 3881
Wachsmuth H, Naderi N, Hou Y, et al. 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. ; 2017:176-187.
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2019 | Conference Paper | LibreCat-ID: 13144
El Baff R, Wachsmuth H, Al-Khatib K, Stede M, Stein B. Computational Argumentation Synthesis as a Language Modeling Task. In: Proceedings of the 12th International Conference on Natural Language Generation. Association for Computational Linguistics; 2019:54-64.
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2021 | Mastersthesis | LibreCat-ID: 45787
Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence Models.; 2021.
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2011 | Conference Paper | LibreCat-ID: 3875
Wachsmuth H, Stein B, Engels G. Constructing Efficient Information Extraction Pipelines. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. 20th ACM International Conference on Information and Knowledge Management. ; 2011:2237-2240.
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2021 | Conference Paper | LibreCat-ID: 23709
Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: Findings of the Association for Computational Linguistics: EMNLP 2021. ; 2021:2683-2693.
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2016 | Conference Paper | LibreCat-ID: 3801
Al-Khatib K, Wachsmuth H, Hagen M, Köhler J, Stein B. 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. ; 2016:1395-1404. doi:10.18653/v1/N16-1165
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2019 | Conference Paper | LibreCat-ID: 11714
Ajjour Y, Wachsmuth H, Kiesel J, Potthast M, Hagen M, Stein B. Data Acquisition for Argument Search: The args.me Corpus. In: Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence. ; 2019:48-59.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In: Findings of the Association for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.
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2023 | Book Chapter | LibreCat-ID: 45882 |
Bäumer FS, Chen W-F, Geierhos M, Kersting J, Wachsmuth H. Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84. doi:10.5281/zenodo.8068456
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks.; 2022.
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2010 | Conference Paper | LibreCat-ID: 3810
Wachsmuth H, Prettenhofer P, Stein B. Efficient Statement Identification for Automatic Market Forecasting. In: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010). ; 2010:1128-1136.
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2015 | Conference Paper | LibreCat-ID: 14875
Chen W-F, Chen M, Ku L-W. 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. ; 2015:144-153.
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2021 | Conference Paper | LibreCat-ID: 22160
Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. 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). ; 2021:4744-4754.
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2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation Knowledge Graph Construction. In: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). ; 2020:7367-7374.
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366
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2020 | Conference Paper | LibreCat-ID: 7283
Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ; 2020:1969-1972.
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2022 | Conference Paper | LibreCat-ID: 32247
Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In: Proceedings of the 9th International Conference on Computational Models of Argument. ; 2022:21-31. doi:http://dx.doi.org/10.3233/FAIA220138
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2021 | Conference Paper | LibreCat-ID: 22158 |
Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. 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. ; 2021:3482-3493.
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2017 | Conference Paper | LibreCat-ID: 14884
Chen W-F, Chen Y-P, Ku L-W. How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement. In: International Conference on HCI in Business, Government, and Organizations. ; 2017:190-202.
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2021 | Conference Paper | LibreCat-ID: 25294
Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In: 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 M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. In: Proceedings of the 16th International Natural Language Generation Conference.
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2022 | Conference Paper | LibreCat-ID: 22157
Kiesel J, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying the Human Values behind Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:4459-4471.
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2018 | Conference Paper | LibreCat-ID: 21173
Bonfert M, Spliethöver M, Arzaroli R, Lange M, Hanci M, Porzel R. If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands. In: 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 H, Stein B, Engels G. Information Extraction as a Filtering Task. In: Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management. ; 2013:2049-2058.
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2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; 2020:6739-6745.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel J, Lang K, Wachsmuth H, Hornecker E, Stein B. 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). ; 2020:53-62.
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2022 | Conference Abstract | LibreCat-ID: 31068
Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: EUROCALL. ; 2022.
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2019 | Conference Paper | LibreCat-ID: 21177 |
Spliethöver M, Klaff J, Heuer H. Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation. In: Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics; 2019:74-82. doi:10.18653/v1/W19-4509
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2014 | Journal Article | LibreCat-ID: 3905
Abu Quba Rana C, Hassas S, Usama F, Alshomary M, Gertosio C. iSoNTRE: The Social Network Transformer into Recommendation Engine. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA). 2014:169-175.
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2021 | Conference Paper | LibreCat-ID: 25297
Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:184-189.
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2022 | Mastersthesis | LibreCat-ID: 29000
Ahmed M. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing.; 2022.
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2013 | Conference Paper | LibreCat-ID: 3813
Wachsmuth H, Stein B, Engels G. Learning Efficient Information Extraction on Heterogeneous Texts. In: Gelbukh A, ed. Proceedings of the Sixth International Joint Conference on Natural Language Processing. Lecture Notes in Computer Science. ; 2013:534-542.
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2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya G, Klaff J, Wachsmuth H. 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. ; 2021:1718-1729.
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2018 | Conference Paper | LibreCat-ID: 11710
Chen W-F, Wachsmuth H, Al Khatib K, Stein B. Learning to Flip the Bias of News Headlines. In: Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics; 2018:79-88.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; :6264-6276.
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2015 | Conference Paper | LibreCat-ID: 14877
Chen W-F, Ku L-W, Lee Y-H. Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example. In: 2015 AAAI Spring Symposium Series. ; 2015.
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2018 | Conference Paper | LibreCat-ID: 3804
Al Khatib K, Wachsmuth H, Lang K, Herpel J, Hagen M, Stein B. Modeling Deliberative Argumentation Strategies on Wikipedia. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). ; 2018:2545-2555.
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2019 | Conference Paper | LibreCat-ID: 12931
Ajjour Y, Alshomary M, Wachsmuth H, Stein B. 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. ; 2019:2915-2925.
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2014 | Conference Paper | LibreCat-ID: 3877
Wachsmuth H, Trenkmann M, Stein B, Engels G. Modeling Review Argumentation for Robust Sentiment Analysis. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. ; 2014:553-564.
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2022 | Conference Paper | LibreCat-ID: 34047
Spliethöver M, Keiff M, Wachsmuth H. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In: 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 A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics. Published online 2022.
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2023 | Book | LibreCat-ID: 45863 |
Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797
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2012 | Conference Paper | LibreCat-ID: 3812
Wachsmuth H, Stein B. Optimal Scheduling of Information Extraction Algorithms. In: Proceedings of COLING 2012: Posters. ; 2012:1281-1290.
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2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.
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2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument Retrieval. In: Proceedings of the 43rd Annual European Conference on Information Retrieval Research. ; 2021:384-395.
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2022 | Book Chapter | LibreCat-ID: 34077
Bondarenko A, Fröbe M, Kiesel J, et al. Overview of Touché 2022: Argument Retrieval. In: 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 K, Wachsmuth H, Hagen M, Stein B. Patterns of Argumentation Strategies across Topics. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. ; 2017:1362-1368.
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2014 | Conference Paper | LibreCat-ID: 3805
Brüseke F, Wachsmuth H, Engels G, Becker S. PBlaman: performance blame analysis based on Palladio contracts. In: Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment. ; 2014:1975-2004.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff R, Al-Khatib K, Stein B, Wachsmuth H. 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). ; 2020:29-40.
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2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth H. Pipelines for Ad-Hoc Large-Scale Text Mining.; 2015.
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2016 | Conference Paper | LibreCat-ID: 3880
Wachsmuth H. Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In: Ausgezeichnete Informatikdissertationen 2015. ; 2016:329-338.
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2020 | Conference Paper | LibreCat-ID: 21174
Alexandrovsky D, Volkmar G, Spliethöver M, et al. Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy. In: Proceedings of the Annual Symposium on Computer-Human Interaction in Play. CHI PLAY’20. New York, NY, USA: Association for Computing Machinery; 2020:32–45. doi:10.1145/3410404.3414222
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2021 | Mastersthesis | LibreCat-ID: 45788
Bülling J. 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 B, Wachsmuth H, eds. Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics; 2019.
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2022 | Mastersthesis | LibreCat-ID: 45789
Budanurmath V. Propaganda Technique Detection Using Connotation Frames.; 2022.
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2018 | Journal Article | LibreCat-ID: 10331
Kiesel J, Kneist F, Alshomary M, Stein B, Hagen M, Potthast M. Reproducible Web Corpora. Journal of Data and Information Quality. 2018:1-25. doi:10.1145/3239574
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2014 | Conference Paper | LibreCat-ID: 14874
Chen M-H, Chen W-F, Ku L-W. RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In: Proceedings of the AsiaCALL 2014. ; 2014.
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2018 | Conference Paper | LibreCat-ID: 3821
Wachsmuth H, Syed S, Stein B. 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). ; 2018:241-251.
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2018 | Conference Paper | LibreCat-ID: 3807
Habernal I, Wachsmuth H, Gurevych I, Stein B. SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. In: Proceedings of The 12th International Workshop on Semantic Evaluation. ; 2018:763-772.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:19-29.
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2015 | Conference Paper | LibreCat-ID: 3815
Wachsmuth H, Kiesel J, Stein B. Sentiment Flow - A General Model of Web Review Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Lecture Notes in Computer Science. ; 2015:601-611. doi:10.18653/v1/D15-1072
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2007 | Conference Paper | LibreCat-ID: 7970
Arens S, Buss A, Deck H, et al. Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In: Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment. Buenos Aires, Argentina: Heinz Nixdorf Institut, University of Paderborn; 2007:215-222.
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2021 | Conference Paper | LibreCat-ID: 22159 |
Barrow J, Jain R, Lipka N, et al. 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). ; 2021:1583-1595.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.
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2015 | Conference Paper | LibreCat-ID: 14876
Chen M-H, Chen W-F, Ku L-W. Technology Enhanced Emotion Expression Learning. In: Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI). ; 2015.
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2015 | Book | LibreCat-ID: 3879
Wachsmuth H. 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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