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121 Publications


2022 | Conference Paper | LibreCat-ID: 33004
Wachsmuth, Henning, and Milad Alshomary. “‘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, 2022, pp. 344–54.
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2017 | Conference Paper | LibreCat-ID: 3817
Wachsmuth, Henning, et al. “‘Page Rank’’’ for Argument Relevance.’” Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 1117–27.
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2015 | Journal Article | LibreCat-ID: 14879
Chen, Wei-Fan, et al. “A Computer-Assistance Learning System for Emotional Wording.” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, IEEE, 2015, pp. 1093–104.
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2016 | Conference Paper | LibreCat-ID: 3747
Al Khatib, Khalid, et al. “A News Editorial Corpus for Mining Argumentation Strategies.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–43.
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2018 | Conference Paper | LibreCat-ID: 14885
Potthast, Martin, et al. “A Plan for Ancillary Copyright: Original Snippets.” Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.
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2014 | Conference Paper | LibreCat-ID: 20142
Wachsmuth, Henning, et al. “A Review Corpus for Argumentation Analysis.” Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.
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2012 | Conference Paper | LibreCat-ID: 14871
Chen, Wei-Fan, et al. “A Syllable-Based Prosody Modeling for L1 and L2 English Speeches.” Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, IEEE, 2012, pp. 281–85.
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2017 | Journal Article | LibreCat-ID: 3882
Wachsmuth, Henning, and Benno Stein. “A Universal Model for Discourse-Level Argumentation Analysis.” Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, no. 3, 2017, pp. 1–24.
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2018 | Conference Paper | LibreCat-ID: 14873
Chen, Wei-Fan, et al. “A User Study on Snippet Generation: Text Reuse vs. Paraphrases.” Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–36.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the Web Conference 2020, 2020, pp. 1309–19.
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2022 | Conference Paper | LibreCat-ID: 33274
Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
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2020 | Conference Paper | LibreCat-ID: 3776
Chen, Wei-Fan, et al. “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, 2020, pp. 149–54.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff, Roxanne, et al. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 2020, pp. 553–64.
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2018 | Journal Article | LibreCat-ID: 14887
Chen, Mei-Hua, et al. “Application of Sentiment Analysis to Language Learning.” IEEE Access, vol. 6, IEEE, 2018, pp. 24433–42.
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2020 | Conference Paper | LibreCat-ID: 20139 | OA
Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.
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2022 | Conference Paper | LibreCat-ID: 34051
Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” Proceedings of the 9th Workshop on Argument Mining, International Conference on Computational Linguistics, 2022, pp. 111–114.
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2019 | Conference Paper | LibreCat-ID: 11709
Potthast, Martin, et al. “Argument Search: Assessing Argument Relevance.” 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), ACM, 2019, pp. 1117–20, doi:10.1145/3331184.3331327.
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2021 | Conference Paper | LibreCat-ID: 22229
Alshomary, Milad, et al. “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), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.
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2017 | Conference Paper | LibreCat-ID: 3883
Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.” Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–55, doi:10.18653/v1/P17-2039.
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2018 | Conference Paper | LibreCat-ID: 4236
Wachsmuth, Henning, et al. “Argumentation Synthesis Following Rhetorical Strategies.” Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–65.
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2021 | Conference Paper | LibreCat-ID: 25295
Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.
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2013 | Conference Paper | LibreCat-ID: 3876
Wachsmuth, Henning, et al. “Automatic Pipeline Construction for Real-Time Annotation.” 14th International Conference on Intelligent Text Processing and Computational Linguistics, edited by Alexander Gelbukh, 2013, pp. 38–49.
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2011 | Conference Paper | LibreCat-ID: 3811
Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text Classification by Language Function.” Proceedings of 5th International Joint Conference on Natural Language Processing, edited by Bettina Berendt et al., 2011, pp. 632–40.
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2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
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2018 | Conference Paper | LibreCat-ID: 3806
Habernal, Ivan, et al. “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation.” Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018, pp. 386–96.
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2021 | Conference Paper | LibreCat-ID: 21178
Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.
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2021 | Conference Paper | LibreCat-ID: 22156 | OA
Spliethöver, Maximilian, and Henning Wachsmuth. “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, 2021, pp. 552–59, doi:10.24963/ijcai.2021/77.
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2019 | Book Review | LibreCat-ID: 11713
Wachsmuth, Henning. “Book Review: Argumentation Mining.” Computational Linguistics, vol. 45, no. 3, ACL, 2019, pp. 603–06.
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2017 | Conference Paper | LibreCat-ID: 3819
Wachsmuth, Henning, et al. “Building an Argument Search Engine for the Web.” Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49–59.
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2020 | Conference Paper | LibreCat-ID: 20141 | OA
Heindorf, Stefan, et al. “CauseNet: Towards a Causality Graph Extracted from the Web.” Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–30, doi:10.1145/3340531.3412763.
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2018 | Conference Paper | LibreCat-ID: 11712
El Baff, Roxanne, et al. “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.” Proceedings of the 22nd Conference on Computational Natural Language Learning, Association for Computational Linguistics, 2018, pp. 454–64.
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2016 | Conference Abstract | LibreCat-ID: 14883
Ku, Lun-Wei, and Wei-Fan Chen. “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.
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2019 | Report | LibreCat-ID: 16847 | OA
Skitalinskaya, Gabriella, et al. CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction. Vol. 2380, 2019.
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2017 | Conference Paper | LibreCat-ID: 3881
Wachsmuth, Henning, et al. “Computational Argumentation Quality Assessment in Natural Language.” Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 176–87.
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2019 | Conference Paper | LibreCat-ID: 13144
El Baff, Roxanne, et al. “Computational Argumentation Synthesis as a Language Modeling Task.” Proceedings of the 12th International Conference on Natural Language Generation, Association for Computational Linguistics, 2019, pp. 54–64.
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2021 | Mastersthesis | LibreCat-ID: 45787
Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models. 2021.
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2011 | Conference Paper | LibreCat-ID: 3875
Wachsmuth, Henning, et al. “Constructing Efficient Information Extraction Pipelines.” 20th ACM International Conference on Information and Knowledge Management, edited by Bettina Berendt et al., 2011, pp. 2237–40.
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2021 | Conference Paper | LibreCat-ID: 23709
Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.
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2016 | Conference Paper | LibreCat-ID: 3801
Al-Khatib, Khalid, et al. “Cross-Domain Mining of Argumentative Text through Distant Supervision.” Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, pp. 1395–404, doi:10.18653/v1/N16-1165.
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2019 | Conference Paper | LibreCat-ID: 11714
Ajjour, Yamen, et al. “Data Acquisition for Argument Search: The Args.Me Corpus.” Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence, 2019, pp. 48–59.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–300.
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2023 | Book Chapter | LibreCat-ID: 45882 | OA
Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:10.5281/zenodo.8068456.
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks. 2022.
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2010 | Conference Paper | LibreCat-ID: 3810
Wachsmuth, Henning, et al. “Efficient Statement Identification for Automatic Market Forecasting.” Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), 2010, pp. 1128–36.
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2015 | Conference Paper | LibreCat-ID: 14875
Chen, Wei-Fan, et al. “Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording.” Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015, pp. 144–53.
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2021 | Conference Paper | LibreCat-ID: 22160
Al-Khatib, Khalid, et al. “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), 2021, pp. 4744–54.
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2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib, Khalid, et al. “End-to-End Argumentation Knowledge Graph Construction.” Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–74.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Rohlfing, Katharina J., 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, vol. 13, no. 3, 2021, pp. 717–28, doi:10.1109/tcds.2020.3044366.
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2020 | Conference Paper | LibreCat-ID: 7283
Alshomary, Milad, et al. “Extractive Snippet Generation for Arguments.” Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–72.
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2022 | Conference Paper | LibreCat-ID: 32247
Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.” Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31, doi:http://dx.doi.org/10.3233/FAIA220138.
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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.
LibreCat
 

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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