Zobrazeno 1 - 10
of 16
pro vyhledávání: '"MOON, SANGWHAN"'
In Tokenization and the Noiseless Channel (Zouhar et al., 2023a), R\'enyi efficiency is suggested as an intrinsic mechanism for evaluating a tokenizer: for NLP tasks, the tokenizer which leads to the highest R\'enyi efficiency of the unigram distribu
Externí odkaz:
http://arxiv.org/abs/2402.14614
South and North Korea both use the Korean language. However, Korean NLP research has focused on South Korean only, and existing NLP systems of the Korean language, such as neural machine translation (NMT) models, cannot properly handle North Korean i
Externí odkaz:
http://arxiv.org/abs/2201.11258
Paraphrasing is often performed with less concern for controlled style conversion. Especially for questions and commands, style-variant paraphrasing can be crucial in tone and manner, which also matters with industrial applications such as dialog sys
Externí odkaz:
http://arxiv.org/abs/2103.13439
Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availability of resources is inadequately advertised and curated. This work curates and reviews a list of Kor
Externí odkaz:
http://arxiv.org/abs/2012.15621
Modern dialog managers face the challenge of having to fulfill human-level conversational skills as part of common user expectations, including but not limited to discourse with no clear objective. Along with these requirements, agents are expected t
Externí odkaz:
http://arxiv.org/abs/1912.00342
Akademický článek
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Autor:
Moon, Sangwhan1 sangwhan@tamu.edu, Lee, Jaehwan2 jlee@kau.ac.kr, Sun, Xiling3 xiling.sun@ssi.samsung.com, Kee, Yang-suk3 yangseok.ki@samsung.com
Publikováno v:
Journal of Supercomputing. Sep2015, Vol. 71 Issue 9, p3525-3548. 24p.
Akademický článek
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Publikováno v:
ACM International Conference Proceeding Series; 8/19/2016, p349-353, 5p
Publikováno v:
2014 IEEE 7th International Conference on Cloud Computing; 2014, p272-279, 8p