Abstract: An extraction method executed by a computer includes: acquiring a first word input by a first user; acquiring a second word input by a second user; calculating a first distributed representation of a first character string, the first character string including the first word and a character string that identifies the first user; calculating a second distributed representation of a second character string, the second character string including the second word and a character string that identifies the second user; calculating a similarity between the first distributed representation and the second distributed representation; and extracting a word associated with the second distributed representation on a basis of the similarity.

Abstract: A non-transitory computer-readable storage medium storing an accuracy calculation program that causes at least one computer to execute a process, the process includes acquiring data item that corresponds to a generation condition based on an input dataset that is a set of input data that includes at least one data item and the generation condition regarding a correspondence relationship between a combination of feature and label information, as selection target rules; acquiring accuracy of each of a plurality of machine learning algorithms, by using a dataset that holds one data item used for a selection rule that is a selection target rule that satisfies a certain condition among the selection target rules; and outputting the accuracy.

Abstract: An apparatus generates an index including positions of morphemes included in a target text data and semantic attributes between the morphemes corresponding to the positions. The apparatus gives information including positions of morphemes included in an input query and semantic attributes between the morphemes corresponding to the positions to the query, and executes a retrieval on the target text data, based on the information given to the query and the index.

Abstract: A memory stores therein a document and a plurality of word vectors that are word embeddings respectively computed for a plurality of words. A processor extracts, with respect to one of the words, two or more surrounding words within a prescribed range from one occurrence position where the one word occurs, from the document, and computes a sum vector by adding word vectors corresponding to the surrounding words. The processor determines a parameter such as to predict the surrounding words from the sum vector and the parameter using a machine learning model. The processor stores the parameter as context information for the one occurrence position, in association with the word vector corresponding to the one word.

Abstract: An index generation method includes: executing an extraction process that includes extracting a plurality of morphemes from document information; and executing a generation process that includes generating index information with respect to each of the plurality of morphemes, wherein the index information includes a first logical value and a second logical value, wherein the first logical value indicates existence of a first morpheme associated with ‘morpheme information indicating the first morpheme’ and ‘position information indicating a position of the first morpheme in the document information’, and wherein the second logical value indicates existence of the first morpheme associated with ‘attribute information indicating a semantic attribute of the first morpheme’ and ‘position information indicating the position of the first morpheme’.

Abstract: A non-transitory computer-readable recording medium stores a semantic structure search program. The semantic structure search program causes a computer to execute the following process. The computer generates a plurality of search semantic symbols from a search request. Next, the computer specifies a position of a specific word that corresponds to the search request in a search target document, by the plurality of search semantic symbols and document semantic structure position information. The document semantic structure position information includes a relationship information between a plurality of semantic symbols and a plurality of positions of a plurality of words in the search target document. The plurality of semantic symbols represent a semantic structure corresponding to the plurality of words. Thereafter, the computer outputs a search result including the specific word and the position of the specific word in the search target document.

Abstract: A computer generates a plurality of encoded sentences in the first language by encoding a plurality of sentences in the first language in prescribed units. Next, the computer generates a plurality of encoded sentences in the second language by encoding a plurality of sentences in the second language, each of which is associated with each of the plurality of sentences in the first language, in the prescribed units. The computer generates alignment information based on a code included in each of the plurality of encoded sentences in the first language and a code included in an encoded sentence in the second language, which is associated with each of the plurality of encoded sentences in the first language. The alignment information indicates an alignment between a plurality of codes in the first language and a plurality of codes in the second language.

Abstract: A process is provided for depositing a substantially amorphous titanium oxynitride thin film that can be used, for example, in integrated circuit fabrication, such as in forming spacers in a pitch multiplication process. The process comprises contacting the substrate with a titanium reactant and removing excess titanium reactant and reaction byproducts, if any. The substrate is then contacted with a second reactant which comprises reactive species generated by plasma, wherein one of the reactive species comprises nitrogen. The second reactant and reaction byproducts, if any, are removed. The contacting and removing steps are repeated until a titanium oxynitride thin film of desired thickness has been formed.

Abstract: A reservation managing method implemented by a computer, the reservation managing method includes: executing first processing in response to receiving of a condition for searching for a resource, the received condition being a condition specified from a user, the first processing including searching for a resource matching the received condition among a plurality of resources; storing information about transition of the condition for searching for a resource in a memory in association with the user based on a condition when a reservation by the user is not set among the received conditions; and outputting a notification that a reservation for one resource of the plurality of resources may be set to the user when a reservation for the one resource is canceled, and when the one resource matches the condition identified from the information stored in the memory in association with the user.

Abstract: An extraction method executed by a computer includes: acquiring a first word input by a first user; acquiring a second word input by a second user; calculating a first distributed representation of a first character string, the first character string including the first word and a character string that identifies the first user; calculating a second distributed representation of a second character string, the second character string including the second word and a character string that identifies the second user; calculating a similarity between the first distributed representation and the second distributed representation; and extracting a word associated with the second distributed representation on a basis of the similarity.

Abstract: An information processing device receives a specification of a word, and specifies an appearance position associated with the specified word by referring to information in which appearance positions in text data of respective words included in the text data are associated with each of the words. The information processing device specifies an attribute associated with the specified appearance position by referring to information in which attributes at respective appearance positions in the text data of respective words included in the text data are associated with the appearance positions.

Abstract: An apparatus receives, via an input device, query input data including a word or a phrase, and acquires search result set data using the query input data. The apparatus acquires, for a value indicating a strength of a relationship between each impression word included in an impression word group and each word included in the query input data, and extracts the first feature word group according to the value indicating the strength of the relationship with each word, from the impression word group. The apparatus displays the search result set data using the first feature word group as an item.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process including generating index information regarding a first string data including a plurality of words or phrases, the index information indicating appearance positions of each of characters, setting flag information to the index information, the flag information indicating head positions plurality of words or phrases and end positions of each of the plurality of words or phrases, and extracting, from a second string data, a plurality of dividable words or phrases corresponding to the plurality of words or phrases by using the index information to which the flag information is set.

Abstract: A reservation managing method implemented by a computer, the reservation managing method includes: executing first processing in response to receiving of a condition for searching for a resource, the received condition being a condition specified from a user, the first processing including searching for a resource matching the received condition among a plurality of resources; storing information about transition of the condition for searching for a resource in a memory in association with the user based on a condition when a reservation by the user is not set among the received conditions; and outputting a notification that a reservation for one resource of the plurality of resources may be set to the user when a reservation for the one resource is canceled, and when the one resource matches the condition identified from the information stored in the memory in association with the user.

Abstract: An allocation method executed by a computer, the allocation method includes receiving a demand for allocating a predetermined event to one of a plurality of frames; setting a weight for a free space in each of a plurality of candidates based on usage frequency of one or more candidates corresponding to the demand for allocating the predetermined event by referring to information on usage frequency of each of a plurality of frames in the past; identifying, from among the plurality of candidates, a candidate whose space is smaller than another space when allocating the predetermined event to the candidate based on the free space in each of the plurality of candidates and the weight for the free space; and outputting the identified candidate.

Abstract: A computer generates semantic structure information from a document. The semantic structure information includes a plurality of semantic structures in a plurality of sentences in the document and a plurality of morphemes included in each of the plurality of sentences belong to a corresponding semantic structure. The computer generates a plurality of codes by encoding the plurality of morphemes for each of the plurality of sentences. The computer specifies a specific code that corresponds to a specific morpheme from among the plurality of morphemes included in each of the plurality of sentences, wherein at least one morpheme is potentially missing in a semantic structure that the specific morpheme belongs to. A missing-portion information indicates the missing morpheme is included in a prior sentence in the document. The computer adds missing-portion information to the specific code for each of the plurality of sentences.

Abstract: A process is provided for depositing a substantially amorphous titanium oxynitride thin film that can be used, for example, in integrated circuit fabrication, such as in forming spacers in a pitch multiplication process. The process comprises contacting the substrate with a titanium reactant and removing excess titanium reactant and reaction byproducts, if any. The substrate is then contacted with a second reactant which comprises reactive species generated by plasma, wherein one of the reactive species comprises nitrogen. The second reactant and reaction byproducts, if any, are removed. The contacting and removing steps are repeated until a titanium oxynitride thin film of desired thickness has been formed.

Abstract: Examples of a oxide film forming method include providing a precursor to a reaction space including a substrate and a susceptor, and forming an oxide film on the substrate by introducing at least one of CxOy and NxOy (x and y are integers) as a reactant gas into the reaction space while applying a pulse RF power having a duty cycle less than 60% to an RF plate to generate plasma of the reactant gas, the RF plate being provided in the reaction space so as to face the susceptor, wherein the providing and the forming are repeated a predetermined number of times.

Abstract: A non-transitory computer-readable recording medium stores a semantic structure search program. The semantic structure search program causes a computer to execute the following process. The computer generates a plurality of search semantic symbols from a search request. Next, the computer specifies a position of a specific word that corresponds to the search request in a search target document, by the plurality of search semantic symbols and document semantic structure position information. The document semantic structure position information includes a relationship information between a plurality of semantic symbols and a plurality of positions of a plurality of words in the search target document. The plurality of semantic symbols represent a semantic structure corresponding to the plurality of words. Thereafter, the computer outputs a search result including the specific word and the position of the specific word in the search target document.

Abstract: Examples of a oxide film forming method include providing a precursor to a reaction space including a substrate and a susceptor, and forming an oxide film on the substrate by introducing at least one of CxOy and NxOy (x and y are integers) as a reactant gas into the reaction space while applying a pulse RF power having a duty cycle less than 60% to an RF plate to generate plasma of the reactant gas, the RF plate being provided in the reaction space so as to face the susceptor, wherein the providing and the forming are repeated a predetermined number of times.