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Recent publications

  1. Analyzing and Interpreting Neural Networks for NLP - A Report on the …

    Alishahi, A., Chrupala, G., & Linzen, T. (2019). Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop. Manuscript submitted for publication.
  2. On the difficulty of a distributional semantics of spoken language

    Chrupała, G., Gelderloos, L., Kádár, Á., & Alishahi, A. (2019). On the difficulty of a distributional semantics of spoken language. In Proceedings of the Society for Computation in Linguistics (Vol. 2)
  3. Lessons Learned in Multilingual Grounded Language Learning

    Kádár, Á., Elliott, D., Côte, M-A., Chrupala, G., & Alishahi, A. (2018). Lessons Learned in Multilingual Grounded Language Learning. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 402-412). Association for Computational Linguistics.
  4. Revisiting the Hierarchical Multiscale LSTM

    Kádár, Á., Côté, M-A., Chrupala, G., & Alishahi, A. (2018). Revisiting the Hierarchical Multiscale LSTM. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3215-3227). Association for Computational Linguistics.
  5. Quantifying cross-linguistic influence with a computational model - A…

    Matusevych, Y., Alishahi, A., & Backus, A. (2017). Quantifying cross-linguistic influence with a computational model: A study of case-marking comprehension. Linguistic Approaches to Bilingualism.

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