Fujitsu Corporation

Keisuke Hirota

Toshihide Miyagi

Jumma Kudo

Daiki Hanawa

Kota Yamakoshi

Nobuko Takase

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process including determining whether first answer information has been cited in a generation process of second answer information for a first inquiry based on history information, stored in a storage device, indicating a citation histories regarding pieces of answer information, and generating training data associating the first inquiry with the first answer information when the first answer information has been cited in a generation process.

Non-transitory computer-readable storage medium, training data generation apparatus, and training data generation method

A machine learning method includes: obtaining first teacher data, which includes first encrypted words and corresponding search word information including one or more second encrypted words to be used for search, the first encrypted words being generated such that the first encrypted word includes a code sequence different from other encrypted words even though both of the first encrypted words and the other encrypted words have been generated from a same word; obtaining a group of words from among the first encrypted words by using a trapdoor scheme; generating second teacher data by using one encrypted word included in the obtained group to replace a rest of the obtained group of words; and performing, on the basis of the second teacher data, machine learning of a parameter to determine, in response to receiving of one or more encrypted words, one or more encrypted words to be used for search.

Machine learning method and machine learning device

A text classification method is performed in a computer. The method includes: receiving a plurality of texts. When detecting that a text among the received plurality of texts includes a pause part satisfying a specific condition, dividing the text at the pause part and generating a new plurality of texts. The method may also include classifying texts, among the received plurality of texts, not including the pause part satisfying the specific condition, and the generated new plurality of texts into a plurality of clusters.

Growing community of inventors

Sagamihara, Japan

Keisuke Hirota