Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 6
Number of items: 6
  • Open Access
    Abnar, S. (2023). Inductive biases for learning natural language. [Thesis, fully internal, Universiteitsbibliotheek].
  • 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
  • Open Access
    Abnar, S., & Zuidema, W. (2020). Quantifying Attention Flow in Transformers. In D. Jurafsky, J. Chai, N. Schluter, & J. Tetreault (Eds.), The 58th Annual Meeting of the Association for Computational Linguistics: ACL 2020 : Proceedings of the Conference : July 5-10, 2020 (pp. 4190-4197). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.385
  • Open Access
    Abnar, S., Beinborn, L., Choenni, R., & Zuidema, W. (2019). Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 191-203). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4820
  • Open Access
    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). Association for Computational Linguistics. https://doi.org/10.18653/v1/W18-0107
  • Open Access
    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). Association for Computing Machinery. https://doi.org/10.1145/2983323.2983910
Page of