BibTeX
C. Beck and M. Köllner, “GHisBERT – Training BERT from scratch for lexical semantic investigations across historical German language stages,” in
Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, N. Tahmasebi, S. Montariol, H. Dubossarsky, A. Kutuzov, S. Hengchen, D. Alfter, F. Periti, and P. Cassotti, Eds., Singapore: Association for Computational Linguistics, Dec. 2023, pp. 33–45. [Online]. Available:
https://aclanthology.org/2023.lchange-1.4BibTeX
D. Hägele et al., “Uncertainty Visualization: Fundamentals and Recent Developments,”
it - Information Technology, vol. 64, pp. 121–132, 2022, doi:
10.1515/itit-2022-0033.
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R. Sevastjanova, A.-L. Kalouli, C. Beck, H. Schäfer, and M. El-Assady, “Explaining Contextualization in Language Models using Visual Analytics,” in
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online: Association for Computational Linguistics, Aug. 2021, pp. 464–476. [Online]. Available:
https://aclanthology.org/2021.acl-long.39BibTeX
BibTeX
C. Schätzle and M. Butt, “Visual Analytics for Historical Linguistics: Opportunities and Challenges,”
Journal of Data Mining and Digital Humanities, 2020, [Online]. Available:
https://jdmdh.episciences.org/6968BibTeX
C. Beck, H. Booth, M. El-Assady, and M. Butt, “Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias,” in
Proceedings of the 14th Linguistic Annotation Workshop, Barcelona, Spain: Association for Computational Linguistics, Dec. 2020, pp. 60–73. [Online]. Available:
https://www.aclweb.org/anthology/2020.law-1.6BibTeX
C. Beck, “DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings,” in
Proceedings of the Fourteenth Workshop on Semantic Evaluation, Barcelona (online): International Committee for Computational Linguistics, Dec. 2020, pp. 50–58. [Online]. Available:
https://www.aclweb.org/anthology/2020.semeval-1.4BibTeX
C. Schätzle and H. Booth, “DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change,” in
Proceedings of the International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, 2019, pp. 126–135. [Online]. Available:
https://www.aclweb.org/anthology/W19-4716BibTeX
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C. Schätzle, F. L. Dennig, M. Blumenschein, D. A. Keim, and M. Butt, “Visualizing Linguistic Change as Dimension Interactions,” in
Proceedings of the International Workshop on Computational Approaches to Historical Language Change, 2019, pp. 272–278. [Online]. Available:
https://www.aclweb.org/anthology/W19-4734.pdfBibTeX
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A. Hautli-Janisz, C. Rohrdantz, C. Schätzle, A. Stoffel, M. Butt, and D. A. Keim, “Visual Analytics in Diachronic Linguistic Investigations,” Linguistic Visualizations, 2018.
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BibTeX
C. Schätzle, “Genitiv als Stilmittel in der Novelle,”
Scalable Reading. Zeitschrift für Literaturwissenschaft und Linguistik (LiLi), vol. 47, pp. 125–140, 2017, doi:
10.1007/s41244-017-0043-9.
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C. Schätzle, M. Hund, F. L. Dennig, M. Butt, and D. A. Keim, “HistoBankVis: Detecting Language Change via Data Visualization,” in
Proceedings of the NoDaLiDa 2017 Workshop Processing Historical Language, G. Bouma and Y. Adesam, Eds., Linköping University Electronic Press, 2017, pp. 32–39. [Online]. Available:
https://www.aclweb.org/anthology/W17-0507BibTeX
C. Schulz et al., “Generative Data Models for Validation and Evaluation of Visualization Techniques,” in
Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), ACM, 2016, pp. 112–124. doi:
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BibTeX