Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. Arora S, Li Y, Liang Y, et al. A latent variable model approach to PMI-based word embeddings. Trans Assoc Comput Linguist. 2016;4:385–99.
2. Bullinaria J, Levy J. Extracting semantic representations from word co-occurrence statistics: a computational study. Behav Res Methods. 2007;3:510.
3. Chapman WW, Bridewell W, Hanbury P, et al. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform. 2001;34(5):301–10.
4. Devlin J, Chang MW, Lee K, et al. BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics,2019; 4171–4186.
5. Firth JR. Papers in linguistics. Oxford: Oxford University Press; 1957.