Screen Holdings Co., Ltd.

Manri Terada

Kiyotaka Kasubuchi

Akiko Yoshida

Koki Umehara

Kazuhiro Kitamura

Kiyotaka Miyai

Yuki Sumiya

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.

Vector acquisition method, vector acquisition apparatus, and recording medium

A similarity calculation apparatus according to the present invention includes: a name acquisition unit configured to acquire a first group name to which each word belonging to a first synonym group belongs and a second group name to which each word belonging to a second synonym group belongs; a name set generation unit configured to generate a first group name set and a second group name set; and a similarity calculation unit configured to calculate similarity between the first group name set and the second group name set. Therefore, even when a plurality of synonym groups are created, terms can be effectively unified.

Similarity calculation apparatus, recording medium, and similarity calculation method

Growing community of inventors

Kyoto, Japan

Manri Terada