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公开(公告)号：US12235881B2
公开(公告)日：2025-02-25
申请号：US17669625
申请日：2022-02-11
Applicant: SCREEN HOLDINGS CO., LTD.
Inventor： Koki Umehara , Kiyotaka Kasubuchi , Akiko Yoshida , Manri Terada , Yuki Sumiya
IPC: G06F16/335 , G06F16/334 , G06F16/355 , G06F40/247 , G06F40/53 , G06N20/00
Abstract: A vector acquisition method includes: inputting, into a learned model, at least one piece of text including at least two of a plurality of words obtained by dividing a compound, the compound being a word divisible into the plurality of words; outputting, from the learned model, an adjusted vector corresponding to at least one of the words obtained by dividing the compound in the input piece of text; and acquiring a compound vector corresponding to the compound using the adjusted vector output from the learned model. Classification accuracy of vectors corresponding to words can thereby be enhanced.
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2.发明申请
公开(公告)号：US20220076057A1
公开(公告)日：2022-03-10
申请号：US17468270
申请日：2021-09-07
Applicant: SCREEN HOLDINGS CO., LTD.
Inventor： Yuki Sumiya , Kiyotaka KASUBUCHI , Akiko YOSHIDA , Manri TERADA , Koki UMEHARA
Abstract: Learning data representing the relationship between explanatory variables and objective variables is acquired by an acquirer. In the learning data acquired by the acquirer, a hierarchical relationship among a plurality of items included in the objective variable is determined by a hierarchy determiner. A construction algorithm to be executed among a plurality of construction algorithms for construction of a learning model is determined by an algorithm determiner based on the hierarchical relationship determined by the hierarchy determiner. A first learning model is constructed by execution of the construction algorithm determined by the algorithm determiner by a learner.
