Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
109 Publications
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).
LibreCat
| Download (ext.)
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
LibreCat
| DOI
| Download (ext.)
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).
LibreCat
| Download (ext.)
2016 | Conference Paper | LibreCat-ID: 3880
Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In Ausgezeichnete Informatikdissertationen 2015 (pp. 329–338).
LibreCat
| Download (ext.)
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).
LibreCat
| Download (ext.)
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).
LibreCat
| Download (ext.)
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).
LibreCat
| Download (ext.)
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
LibreCat
| DOI
| Download (ext.)
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
LibreCat
| DOI
2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.
LibreCat
| Files available