Cite
RNNs can generate bounded hierarchical languages with optimal memory
MLA
Percy Liang, et al. “RNNs Can Generate Bounded Hierarchical Languages with Optimal Memory.” Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Jan. 2020. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....f5710b69420dcea64ac23f21dfc97de5&authtype=sso&custid=ns315887.
APA
Percy Liang, Christopher D. Manning, John Hewitt, Surya Ganguli, & Michael Hahn. (2020). RNNs can generate bounded hierarchical languages with optimal memory. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Chicago
Percy Liang, Christopher D. Manning, John Hewitt, Surya Ganguli, and Michael Hahn. 2020. “RNNs Can Generate Bounded Hierarchical Languages with Optimal Memory.” Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), January. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....f5710b69420dcea64ac23f21dfc97de5&authtype=sso&custid=ns315887.