Språkteknologiresurser
Language technology resources
Om litteraturlistan
Diarienummer GU 2025/1965
Collin F. Baker, Charles J. Fillmore, and John B. Lowe. 1998. The Berkeley FrameNet Project. In 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1, pages 86–90, Montreal, Quebec, Canada. Association for Computational Linguistics.
Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al. 2023. "On the application of Large Language Models for language teaching and assessment technology." arXiv preprint arXiv:2307.08393 (2023): https://arxiv.org/abs/2307.08393
Kenneth Ward Church and Joel Hestness. 2019. A survey of 25 years of evaluation. Natural Language Engineering 25 (6): 753–767. https://www.cambridge.org/core/journals/natural-language-engineering/article/survey-of-25-years-of-evaluation/E4330FAEB9202EC490218E3220DDA291
Dirk Hovy and Shannon L. Spruit. 2016. The social impact of natural language processing. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 591–598, Berlin, Germany. Association for Computational Linguistics. https://doi.org/10.18653/v1/P16-2096
Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, and Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7079–7091, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Rachel L. Thomas and David Uminsky. 2022. Reliance on metrics is a fundamental challenge for AI. Patterns (N Y). 2022 May 13;3(5):100476. https://doi.org/10.1016/j.patter.2022.100476
SB-blog: https://spraakbanken.gu.se/blogg/20200430-common-pitfalls-in-the-development-of-icall-applications
Additional articles provided by the teachers of no more than 50 pages.
Additional reading depending on the chosen course project topic