Mostrar el registro sencillo del ítem
dc.contributor.author | Dyer, Chris |
dc.contributor.author | Kuncoro, Adhiguna |
dc.contributor.author | Ballesteros, Miguel |
dc.contributor.author | Smith, Noah A. |
dc.date.accessioned | 2016-12-12T10:24:20Z |
dc.date.available | 2016-12-12T10:24:20Z |
dc.date.issued | 2016 |
dc.identifier.citation | Dyer 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. |
dc.identifier.uri | http://hdl.handle.net/10230/27726 |
dc.description | Comunicació 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. |
dc.description.abstract | 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. |
dc.description.sponsorship | This work was sponsored in part by the Defense/nAdvanced Research Projects Agency (DARPA)/nInformation Innovation Office (I2O) under the/nLow Resource Languages for Emergent Incidents/n(LORELEI) program issued by DARPA/I2O under/nContract No. HR0011-15-C-0114; it was also supported/nin part by Contract No. W911NF-15-1-0543/nwith the DARPA and the Army Research Office/n(ARO). Approved for public release, distribution/nunlimited. The views expressed are those of the authors/nand do not reflect the official policy or position/nof the Department of Defense or the U.S. Government./nMiguel Ballesteros was supported by the/nEuropean Commission under the contract numbers/nFP7-ICT-610411 (project MULTISENSOR) and/nH2020-RIA-645012 (project KRISTINA). |
dc.format.mimetype | application/pdf |
dc.language.iso | eng |
dc.publisher | ACL (Association for Computational Linguistics) |
dc.relation.ispartof | 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). [S.l.]: Association for Computational Linguistics (ACL); 2016. p. 199-209. |
dc.rights | © ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ |
dc.subject.other | Tractament del llenguatge natural (Informàtica) |
dc.subject.other | Lingüística computacional |
dc.title | Recurrent neural network grammars |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/645012 |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/610411 |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
dc.type.version | info:eu-repo/semantics/publishedVersion |