Zobrazeno 1 - 4
of 4
pro vyhledávání: '"68T50, 68T10"'
Autor:
Hosseini, Mehran, Hosseini, Peyman
Scaled Dot Product Attention (SDPA) is the backbone of many modern deep-learning models. It is so versatile that it has been used in natural language, vision, and multi-modal domains with very little change compared to its original formulation. This
Externí odkaz:
http://arxiv.org/abs/2403.01643
Autor:
Schmidt, Larissa, Linder, Lucy, Djambazovska, Sandra, Lazaridis, Alexandros, Samardžić, Tanja, Musat, Claudiu
We introduce a dictionary containing forms of common words in various Swiss German dialects normalized into High German. As Swiss German is, for now, a predominantly spoken language, there is a significant variation in the written forms, even between
Externí odkaz:
http://arxiv.org/abs/2004.00139
Autor:
Escalante, Hugo Jair, García-Limón, Mauricio A., Morales-Reyes, Alicia, Graff, Mario, Montes-y-Gómez, Manuel, Morales, Eduardo F.
This paper describes a novel approach to learning term-weighting schemes (TWSs) in the context of text classification. In text mining a TWS determines the way in which documents will be represented in a vector space model, before applying a classifie
Externí odkaz:
http://arxiv.org/abs/1410.0640
Autor:
Mokhov, Serguei A.
This companion paper complements the main DEFT'10 article describing the MARF approach (arXiv:0905.1235) to the DEFT'10 NLP challenge (described at http://www.groupes.polymtl.ca/taln2010/deft.php in French). This paper is aimed to present the complet
Externí odkaz:
http://arxiv.org/abs/1006.3787