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van der Heijden, N., Abnar, S., & Shutova, E. (2020). A comparison of architectures and pretraining methods for contextualized multilingual word embeddings. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 5, pp. 9090-9097). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6443[details]
2019
Beinborn, L. M., Abnar, S., & Choenni, R. (Accepted/In press). Robust Evaluation of Language-Brain Encoding Experiments. International Journal of Computational Linguistics and Applications.
2018
Abnar, S., Ahmed, R., Mijnheer, M., & Zuidema, W. (2018). Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. In Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2018): January 7, 2018 (pp. 57-66). Stroudsburg, PA: Association for Computational Linguistics. https://doi.org/10.18653/v1/W18-0107[details]
Dehghani, M., Abnar, S., & Kamps, J. (2016). The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. In CIKM'16: proceedings of the 2016 ACM Conference on Information and Knowledge Management : October 24-28, 2016, Indianapolis, IN, USA (pp. 2065-2068). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2983323.2983910[details]
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