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Springer Nature Switzerland
Reference24 articles.
1. Abercrombie, G., Batista-Navarro, R.: Semantic change in the language of UK parliamentary debates. In: Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pp. 210–215. ACL (2019). https://doi.org/10.18653/v1/W19-4726
2. Barnes, J., Touileb, S., Øvrelid, L., Velldal, E.: Lexicon information in neural sentiment analysis: a multi-task learning approach. In: Proceedings of the 22nd Nordic Conference on Computational Linguistics, Turku, Finland (2019). https://www.aclweb.org/anthology/W19-6119/
3. 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 4th Workshop on Natural Language Processing and Computational Social Science, pp. 149–154. ACL (2020). https://doi.org/10.18653/v1/2020.nlpcss-1.16
4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of NAACL 2019, pp. 4171–4186. ACL (2019). https://doi.org/10.18653/v1/N19-1423
5. Doan, T.M., Kille, B., Gulla, J.A.: Using language models for classifying the party affiliation of political texts. In: Rosso, P., Basile, V., Martínez, R., Métais, E., Meziane, F. (eds.) NLDB 2022. LNCS, vol. 13286, pp. 382–393. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08473-7_35
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