Quantifying Context With and Without Statistical Language Models

Author:

Jacobs Cassandra L.

Publisher

Springer International Publishing

Reference219 articles.

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2. Akan, M., Stanley, S. E., & Benjamin, A. S. (2018). Testing enhances memory for context. Journal of Memory and Language, 103, 19–27.

3. Alkaoud, M., & Syed, M. (2020, December). On the importance of tokenization in Arabic embedding models. In Proceedings of the fifth Arabic natural language processing workshop (pp. 119–129).

4. Allopenna, P. D., Magnuson, J. S., & Tanenhaus, M. K. (1998). Tracking the time course of spoken word recognition using eye movements: Evidence for continuous mapping models. Journal of Memory and Language, 38, 419–439.

5. Altszyler, E., Sigman, M., & Slezak, D. F. (2018, July). Corpus specificity in LSA and Word2vec: The role of out-of-domain documents. In Proceedings of the third workshop on representation learning for NLP (pp. 1–10).

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