Computer-readable recording medium storing training data generation program, training data generation method, and training data generation apparatus
AssigneeFujitsu Limited
InventorSeiji Okajima
Life of this patent
Estimating the term…
Abstract
A non-transitory computer-readable recording medium storing a training data generation program for causing a computer to execute processing including: identifying, from among meta-analysis literatures stored in a memory, a plurality of meta-analysis literatures in which a first literature is cited; determining a degree of similarity between the plurality of identified meta-analysis literatures based on feature information of the plurality of identified meta-analysis literatures; and in response to the degree of similarity being equal to or higher than a threshold, generating training data for machine learning including the first literature.
Claims5
A non-transitory computer-readable recording medium storing a training data generation program for causing a computer to execute processing comprising:
- identifying, from among meta-analysis literatures stored in a memory, a plurality of meta-analysis literatures each of which cites a first literature;
- determining a degree of variation in themes among the plurality of identified meta-analysis literatures based on feature information of each of the plurality of identified meta-analysis literatures;
- and
- in a case where the degree of variation is less than a threshold, generating training data for machine learning by using the first literature.
A computer-implemented training data generation method comprising:
- identifying, from among meta-analysis literatures stored in a memory, a plurality of meta-analysis literatures each of which cites a first literature;
- determining a degree of variation in themes among the plurality of identified meta-analysis literatures based on feature information of each of the plurality of identified meta-analysis literatures;
- and
- in a case where the degree of variation is less than a threshold, generating training data for machine learning by using the first literature.
A training data generation apparatus comprising:
- a memory;
- and
- a processor coupled to the memory, the processor being configured to perform processing, the processing including:
- identifying, from among meta-analysis literatures stored in the memory, a plurality of meta-analysis literatures each of which cites a first literature;
- determining a degree of variation in themes among the plurality of identified meta-analysis literatures based on feature information of each of the plurality of identified meta-analysis literatures;
- and
- in a case where the degree of variation is less than a threshold, generating training data for machine learning by using the first literature.
Dependencies are inferred from the claim text.