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pro vyhledávání: '"Akabe, Koichi"'
This paper proposes an approach to improve the runtime efficiency of Japanese tokenization based on the pointwise linear classification (PLC) framework, which formulates the whole tokenization process as a sequence of linear classification problems.
Externí odkaz:
http://arxiv.org/abs/2406.17185
Publikováno v:
Software: Practice and Experience (SPE), 53(6): 1332-1361, 2023
Multiple pattern matching in strings is a fundamental problem in text processing applications such as regular expressions or tokenization. This paper studies efficient implementations of double-array Aho-Corasick automata (DAACs), data structures for
Externí odkaz:
http://arxiv.org/abs/2207.13870
Publikováno v:
In Journal of Biomedical Informatics April 2021 116
Akademický článek
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Publikováno v:
Journal of Biomedical Informatics. 116:103705
For annotation in cancer genomic medicine, oncologists have to refer to various knowledge bases worldwide and retrieve all information (e.g., drugs, clinical trials, and academic papers) related to a gene variant. However, oncologists find it difficu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7cd09404e8e6c5324295802a114c829
https://doi.org/10.1016/j.jbi.2021.103705
https://doi.org/10.1016/j.jbi.2021.103705
Autor:
Fudaba, Hiroyuki, Oda, Yusuke, Akabe, Koichi, Neubig, Graham, Hata, Hideaki, Sakti, Sakriani, Toda, Tomoki, Nakamura, Satoshi
Publikováno v:
2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE); 2015, p824-829, 6p