Bear, E., Chen, X., & Meurers, D. (2024). Writing style in a second language: Exploring individual differences in linguistic complexity in a large-scale corpus. In K. Ackerley & E. Castello (Eds.), Continuing learner corpus research: Challenges and opportunities. Selected papers from the Sixth Learner Corpus Research Conference (pp. 325-357). Presses universitaires de Louvain. https://pul.uclouvain.be/book/?GCOI=29303100485770
Bear, E., Chen, X., Souto, D. V., Ribeiro-Flucht, L., Rudzewitz, B., & Meurers, D. (2024). Designing a task-based conversational agent for EFL in German schools: Student needs, actions, and perceptions. System, 126, 103460. https://doi.org/10.1016/j.system.2024.103460
Bear, E., Bodnar, S., Chen, X. (2023). Learner and linguistic factors in commercial ASR use for spoken language practice: A focus on form. Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE), 161-165. https://doi.org/10.21437/SLaTE.2023-31
Bear, E., & Chen, X. (2023). Evaluating a conversational agent for second language learning aligned with the school curriculum. In N. Wang, G. Rebolledo-Mendez, V. Dimitrova, N. Matsuda, & O.C. Santos (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science (Vol. 1831, pp. 142-147). Springer. https://doi.org/10.1007/978-3-031-36336-8_22
Chen, X., Bear, E., Hui, B., Santhi-Ponnusamy, H., & Meurers, D. (2022). Education theories and AI affordances: Design and implementation of an intelligent computer assisted language learning system. In M.M. Rodrigo, N. Matsuda, A.I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science (Vol. 13356, pp. 582-585). Springer. https://doi.org/10.1007/978-3-031-11647-6_120
Quixal, M., Rudzewitz, B., Bear, E., & Meurers, D. (2021). Automatic annotation of curricular language targets to enrich activity models and support both pedagogy and adaptive systems. In D. Alfter, E. Volodina, I. Pilan, J. Graën, & L. Borin (Eds.), Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning (pp. 15-27). LiU Electronic Press. https://aclanthology.org/2021.nlp4call-1.2.pdf
Bear, E., Höfels, D., & Manolescu, M. (2020). TueMix at SemEval-2020 Task 9: Logistic regression with linguistic feature set for sentiment analysis of code-mixed social media text. Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1316-1321. https://aclanthology.org/anthology-files/pdf/semeval/2020.semeval-1.178.pdf
