Abstract: A non-transitory computer-readable recording medium storing a machine learning program for causing a computer to executes processing, the processing including: generating a tensor representing a plurality of pieces of triple data; and executing tensor decomposition, when performing the tensor decomposition of the tensor into a core tensor and factor matrices, under a condition that a value of a first element of the factor matrix corresponding to first triple data among the plurality of pieces of triple data and a value of an element of the core tensor are fixed.

Abstract: A method includes: in response to a target disease name and an input practice information on the target disease, detecting a similar disease name from a list of disease names, the similar disease name having a character string similar to the target disease name, the input practice information indicating an examination result when the target disease name is determined; obtaining a determination result by inputting input information to a task, the input information including the similar disease name and the input practice information, the task being configured to determine whether the similar disease name corresponds to any one of a plurality of rules, each of the plurality of rules defining a relationship between a disease name and a practice information on the disease name; and in response to the determination result indicating that the similar disease name corresponds to any of the plurality of rules, displaying the similar disease name.

Abstract: A method includes receiving a designation of one or more first items that are to be included in a new table from a user, specifying, based on metadata related to second items included in each of a plurality of existing tables, an existing table from among the plurality of existing tables, the existing table including at least one of the designated one or more first items in the second items, specifying, based on other metadata related to an input item and an output item accompanied with execution of each of a plurality of programs, a program from among the plurality of programs, the program causing the designated one or more first items to be output as the output item when one of the second items included in the specified existing table is input as the input item, and outputting the specified existing table and the specified program.

Abstract: A method includes acquiring one or a plurality of first tables including a first data group regarding a first item, acquiring a second table corresponding to a result of executing a program with the one or the plurality of first tables set as an input, the second table including a second item and a second data group, generating, when a first name of the first item and a second name of the second item have a relationship in which the first name partially matches the second name, first information indicating the relationship between the first name and the second name while defining parts that partially match, registering the first information in a memory as metadata for the program, the metadata indicating a relationship between the one or the plurality of first tables set as the input and the second table set as an output.

Abstract: An evaluation apparatus acquires estimated values of values indicating certain feature of a plurality of entities, respectively. Next, the evaluation apparatus determines, among the plurality of entities, entities, each of which is associated with the same value as a corresponding estimated value by specified relation information, to be first entities and holds the specified relation information. Next, the evaluation apparatus determines, among the plurality of entities, entities, each of which is associated with a value different from a corresponding estimated value by the specified relation information, to be second entities. Next, the evaluation apparatus calculates a concordance rate between the estimated values for the respective entities and the values associated with the respective entities by the specified relation information, based on the number of first entities and the number of second entities.

Abstract: A method includes receiving a designation of one or more first items that are to be included in a new table from a user, specifying, based on metadata related to second items included in each of a plurality of existing tables, an existing table from among the plurality of existing tables, the existing table including at least one of the designated one or more first items in the second items, specifying, based on other metadata related to an input item and an output item accompanied with execution of each of a plurality of programs, a program from among the plurality of programs, the program causing the designated one or more first items to be output as the output item when one of the second items included in the specified existing table is input as the input item, and outputting the specified existing table and the specified program.

Abstract: A method includes acquiring one or a plurality of first tables including a first data group regarding a first item, acquiring a second table corresponding to a result of executing a program with the one or the plurality of first tables set as an input, the second table including a second item and a second data group, generating, when a first name of the first item and a second name of the second item have a relationship in which the first name partially matches the second name, first information indicating the relationship between the first name and the second name while defining parts that partially match, registering the first information in a memory as metadata for the program, the metadata indicating a relationship between the one or the plurality of first tables set as the input and the second table set as an output.

Abstract: Apparatus for calculating term co-occurrence scores for use in a natural language processing method, where a term is a word or a group of consecutive words, in which apparatus at least one text document is analysed and pairs of terms, from terms which occur in the document, are ascribed respective co-occurrence scores to indicate an extent of an association between them, comprises sentence sequence processing means (280) and co-occurrence score set calculation means (230), wherein: the sentence sequence processing means (280) are operable to for each of all possible sequences of sentences in a document, where the minimum number of sentences in a sequence is one and the maximum number of sentences in a sequence has a predetermined value, determine a weighting value w which is a decreasing function of the number of sentences in the sentence sequence; determine a sentence sequence count value, based on the sum of all the determined weighting values; obtain a document term count value, where the document term cou

Abstract: A link destination hypertext is acquired of an original anchor present in a processing range in an original hypertext, and link destination anchor information composed of a pair of a link destination anchor character string and a link destination URL is extracted from the link destination hypertext. An original anchor effective range is determined which serves as a candidate character string range to which a new anchor is added in the original hypertext, a character string present in the original anchor effective range is compared with a character string present in the link destination anchor information, new anchor information is generated which is composed of a pair of a matched ranged character string and a new link destination URL, and a new anchor is attached to the matched range character string of the original hypertext, so as to convert the original hypertext to a new hypertext.

Abstract: A link destination hypertext is acquired of an original anchor present in a processing range in an original hypertext, and link destination anchor information composed of a pair of a link destination anchor character string and a link destination URL is extracted from the link destination hypertext. An original anchor effective range is determined which serves as a candidate character string range to which a new anchor is added in the original hypertext, a character string present in the original anchor effective range is compared with a character string present in the link destination anchor information, new anchor information is generated which is composed of a pair of a matched ranged character string and a new link destination URL, and a new anchor is attached to the matched range character string of the original hypertext, so as to convert the original hypertext to a new hypertext.