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Multiple studies have probed representations emerging in neural networks trained for end-to-end NLP tasks and examined what word-level linguistic information may be encoded in the representations.
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Bojar, O., Dušek, O., Kocmi, T., Libovický, J., Novák, M., Popel, M., et al.: Czeng 1.6: Enlarged Czech-English parallel corpus with processing tools dockered. In: Sojka, P., et al. (eds.) TSD. pp. 231–238. Springer International Publishing, Cham (2016)
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Shi, X., Padhi, I., Knight, K.: Does string-based neural MT learn source syntax? In: Proc. EMNLP. pp. 1526–1534. Austin, Texas (2016)
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Arpit, D., Jastrzundefinedbski, S., Ballas, N., Krueger, D., Bengio, E., Kanwal, M.S., et al.: A closer look at memorization in deep networks. In: Proc. ICML. pp. 233–242 (2017)
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Belinkov, Y., Durrani, N., Dalvi, F., Sajjad, H., Glass, J.: What do neural machine translation models learn about morphology? In: Proc. ACL. pp. 861–872. Vancouver, Canada (2017)
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Belinkov, Y., Màrquez, L., Sajjad, H., Durrani, N., Dalvi, F., Glass, J.: Evaluating layers of representation in neural machine translation on part-of-speech and semantic tagging tasks. In: Proc. IJCNLP. pp. 1–10. Taipei, Taiwan (2017)
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Dalvi, F., Durrani, N., Sajjad, H., Belinkov, Y., Vogel, S.: Understanding and improving morphological learning in the neural machine translation decoder. In: Proc. IJCNLP. pp. 142–151. Taipei, Taiwan (2017)
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Blevins, T., Levy, O., Zettlemoyer, L.: Deep RNNs encode soft hierarchical syntax. In: Proc. ACL. pp. 14–19. Melbourne, Australia (2018)
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Krueger, D., Ballas, N., Jastrzebski, S., Arpit, D., Kanwal, M.S., Maharaj, T., et al.: Deep nets don’t learn via memorization. In: Proc. of ICLR. p. 4 (2017)
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., et al.: Attention is all you need. In: Guyon, I., et al. (eds.) NeurIPS 30, pp. 6000–6010. Curran Ass. (2017)
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Bakarov, A.: A survey of word embeddings evaluation methods. arXiv preprint arXiv:1801.09536 (2018)
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Bisazza, A., Tump, C.: The lazy encoder: A fine-grained analysis of the role of morphology in neural machine translation. In: Proc. EMNLP. pp. 2871–2876. Brussels, Belgium (2018)
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Carlini, N., Liu, C., Erlingsson, Ú., Kos, J., Song, D.: The secret sharer: Evaluating and testing unintended memorization in neural networks. In: USENIX Security. pp. 267–284. Santa Clara, CA (2019)
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Hewitt, J., Liang, P.: Designing and interpreting probes with control tasks. In: Proc. of EMNLP-IJCNLP. pp. 2733–2743. Hong Kong, China (2019)
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Musil, T.: Examining structure of word embeddings with PCA. In: Ekštein, K. (ed.) TSD. pp. 211–223. Springer International Publishing, Cham (2019)
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