Topic Modelling and Frame Identification for Political Arguments
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27181-6_19
Reference26 articles.
1. 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 the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 2922–2932. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/D19-1290, https://www.aclweb.org/anthology/D19-1290
2. Artstein, R., Poesio, M.: Inter-coder agreement for computational linguistics. Comput. Linguist. 34(4), 555–596 (2008). https://doi.org/10.1162/coli.07-034-R2, https://direct.mit.edu/coli/article/34/4/555-596/1999
3. Boydstun, A.E., Glazier, R.A., Pietryka, M.T.: Playing to the crowd: agenda control in presidential debates. Polit. Commun. 30(2), 254–277 (2013). https://doi.org/10.1162/coli.07-034-R2, https://www.tandfonline.com/doi/abs/10.1080/10584609.2012.737423
4. Boydstun, A.E., Gross, J.H., Resnik, P., Smith, N.A.: Identifying media frames and frame dynamics within and across policy issues. In: New Directions in Analyzing Text as Data Workshop, London (2013)
5. Card, D., Boydstun, A.E., Gross, J.H., Resnik, P., Smith, N.A.: The media frames corpus: annotations of frames across issues. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 438–444. Association for Computational Linguistics (2015). https://doi.org/10.3115/v1/P15-2072, https://www.aclweb.org/anthology/P15-2072
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