Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yugo Murawaki"'
Publikováno v:
IEEE Access, Vol 11, Pp 93286-93292 (2023)
Recognizing event factuality is a crucial factor for understanding and generating texts with abundant references to possible and counterfactual events. Because event factuality is signaled by modality expressions, identifying modality expression is a
Externí odkaz:
https://doaj.org/article/19e984ef117540888bb09a5f0433f0cf
Autor:
Yugo Murawaki
Publikováno v:
Computational Linguistics, Vol 45, Iss 2, Pp 199-228 (2019)
We borrow the concept of representation learning from deep learning research, and we argue that the quest for Greenbergian implicational universals can be reformulated as the learning of good latent representations of languages, or sequences of surfa
Externí odkaz:
https://doaj.org/article/902bb8ada4b345a9a4d44e1ee004df64
Autor:
Yugo Murawaki
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0134335 (2015)
Phylogenetic models, originally developed to demonstrate evolutionary biology, have been applied to a wide range of cultural data including natural language lexicons, manuscripts, folktales, material cultures, and religions. A fundamental question re
Externí odkaz:
https://doaj.org/article/e761a356019a4e7c9afeaef545165be2
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47623b8a447ff7265ad832984d6e233a
https://doi.org/10.1007/978-3-031-24340-0_6
https://doi.org/10.1007/978-3-031-24340-0_6
Publikováno v:
Journal of Natural Language Processing. 28:995-1033
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8967c18c876c89fb786f05b4f2261fed
https://doi.org/10.5715/jnlp.28.995
https://doi.org/10.5715/jnlp.28.995
Autor:
Yugo Murawaki
Publikováno v:
EMNLP (1)
Analyzing the evolution of dialects remains a challenging problem because contact phenomena hinder the application of the standard tree model. Previous statistical approaches to this problem resort to admixture analysis, where each dialect is seen as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3450c4b0726655778346654b026a97cc
https://doi.org/10.5715/jnlp.28.281
https://doi.org/10.5715/jnlp.28.281
Autor:
John Richardson, Yoshimasa Tsuruoka, Atsushi Ushiku, Hirotaka Kameko, Tetsuro Sasada, Suguru Matsuyoshi, Yugo Murawaki, Shinsuke Mori
Publikováno v:
Journal of Natural Language Processing. 28:847-873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9460f93a8956371083eb91fcaa597a10
https://doi.org/10.5715/jnlp.28.847
https://doi.org/10.5715/jnlp.28.847
Publikováno v:
Journal of Natural Language Processing. 27:889-931
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::829f0f1d6cede995eb09499a26a82ae4
https://doi.org/10.5715/jnlp.27.889
https://doi.org/10.5715/jnlp.27.889
Publikováno v:
NAACL-HLT
With advances in neural language models, the focus of linguistic steganography has shifted from edit-based approaches to generation-based ones. While the latter's payload capacity is impressive, generating genuine-looking texts remains challenging. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c1949dc94b4875f6c2de44a5c347ad
http://arxiv.org/abs/2104.09833
http://arxiv.org/abs/2104.09833
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45296911a96f3a6ca58cf4b9bb5f444c
https://doi.org/10.18653/v1/2021.findings-emnlp.165
https://doi.org/10.18653/v1/2021.findings-emnlp.165