Dyer, ChrisKuncoro, AdhigunaBallesteros, MiguelSmith, Noah A.2016-12-122016-12-122016Dyer C, Kuncoro A, Ballesteros M, Smith NA. Recurrent neural network grammars. In: Knight K, Lopez A, Mitchell M, editors. Human Language Technologies. 2016 Conference of the North American Chapter of the Association for Computational Linguistics; 2016 June 12-17; San Diego (CA, USA). [place unknown]: Association for Computational Linguistics (ACL); 2016. p. 199-209.http://hdl.handle.net/10230/27726Comunicació presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics, celebrada a San Diego (CA, EUA) els dies 12 a 17 de juny 2016.We introduce recurrent neural network grammars,/nprobabilistic models of sentences with/nexplicit phrase structure. We explain efficient/ninference procedures that allow application to/nboth parsing and language modeling. Experiments/nshow that they provide better parsing in/nEnglish than any single previously published/nsupervised generative model and better language/nmodeling than state-of-the-art sequential/nRNNs in English and Chinese.application/pdfeng© ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 LicenseTractament del llenguatge natural (Informàtica)Lingüística computacionalinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess