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121 Publications
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 | 
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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