Fujitsu Corporation

Masahiro Kataoka

Masao Ideuchi

Ryo Matsumura

Yasuhiro Suzuki

Seiji Okura

Takashi Tsubokura

Takafumi Ohta

Takaki Ozawa

Takahiro Murata

Junki Hakamata

Yukari Hakamata

Satoshi Onoue

Tatsuhiro Sato

Kohshi Yamamoto

Hideto Higashi

Hitoshi Okumura

Shouji Iwamoto

Ryosuke Hyogo

Hideo Kasai

Kota Natsume

Fumiaki Nakamura

Masahiro Kurishima

Takahiro Okubo

Toshihiro Nishimura

Takahide Muramoto

Haruyasu Ueda

Kiichi Yamada

Ryouta Komatsu

Keishiro Tanaka

Naoki Akiyama

Yasuhiro Tsuyuki

Yoshihide Tomiyama

Junya Hiramatsu

Yugo Matsuda

Kosuke Tao

Masanori Sakai

Tomonori Ota

Hiroyuki Torii

Hazuki Abe

Hiroshi Masago

Isao Miyashita

Yoshikazu Kawakubo

Eisuke Norimoto

Akira Sakai

Hideaki Tanaka

Hiroyuki Yoshida

Satoshi Matsumoto

Yuji Watanabe

Kazuo Mineno

Ken Hayashida

Ken Murata

Iori Murakami

Keisuke Saito

Nobuyuki Takebe

Minoru Yamanaka

Teruhiko Onishi

Kenji Kawana

Takashi Furuta

Takuya Kozaki

Masahiko Shimada

Yasunari Tateiwa

Junya Kato

Shinichiro Nishizawa

Toshiyuki Fujishima

Gensai Hideshima

Yuki Matoba

Hideki Hara

Takashi Yamashita

Kenji Furuichi

Nobuhiro Sakamoto

Tetsuya Nishimura

Hiromi Koga

Satoshi Kitadate

Taizou Shirakata

Aya Iwata

Tomoyoshi Ohsawa

Tomohiko Hosaka

Takehiro Ide

Mariko Taga

Ryu Matsui

Toshihide Nakatsu

Tamana Kobayashi

Hiroyuki Kawamura

A non-transitory computer-readable recording medium has stored therein an information processing program that causes a computer to execute a process including separating input text into a plurality of words, by performing a morpheme analysis on the input text identifying, from among the plurality of words contained in the input text, a polysemous word and a semantic division of the polysemous word, based on a co-occurrence rate table defining co-occurrence rates between polysemous words distinguished according to semantic divisions thereof and categories of words and based on the plurality of words contained in the input text, and assigning a vector corresponding to the semantic division of the polysemous word, to the polysemous word contained in the input text.

Non-transitory computer-readable recording medium, information processing method, and information processing apparatus

A medium storing comprising instructions for: dividing a text into words; specifying an unknown word indicating a word other than a static word in a static dictionary among words in the text based on the static dictionary associating the static word with a vector; determining whether a unique word corresponding to the unknown word is included in a definition, using the definition defining a relationship between the unique word and a vector generated based on a condition that similar vectors are set for similar unique words; and when the unique word corresponding to the unknown word is included in the definition, assigning a vector corresponding to the unique word to the unknown word; and when the unique word corresponding to the unknown word is not included in the definition, assigning a vector to the unknown word using words arranged before and after the unknown word.

Non-transitory computer-readable recording medium storing information processing program, information processing method, and information processing apparatus

A computer: acquires, from a compression dictionary that associates each of codes having a length according to a frequency of appearance of a set of a word and a word meaning of the word with that set, the set of any word and that word meaning, and one of the codes associated with the set of the any word and that word meaning; selects, from among a plurality of fixed-length codes stored in the memory with a same length in association with the set of the word and that word meaning, one of the fixed-length codes associated with the set of the any word and that word meaning; generates a conversion dictionary that associates the selected one of the fixed-length codes with the acquired one of the codes; and specifies, by the conversion dictionary, the individual fixed-length codes associated with each of the codes contained in compressed data.

Control method, control program, and information processing device

A computer-readable storage medium storing a program for causing a computer to perform processing including: dividing a sequence indicating a rational formula of a compound, into a character string of a minimum unit of the sequence and a branch symbol indicating a branched portion of the compound; generating a first coded sequence by using a group dictionary indicating a relationship between the sequence and the compression code, the generating including assigning a compression code to the character string of the minimum unit, and assigning the compression code according to a type of the branched portion to the branch symbol; and generating a second coded sequence by using a primary structure dictionary indicating a relationship between a group primary structure of the sequence and the compression code, the generating of the second coded sequence including encoding the compression code in the first coded sequence in units of the group primary structure.

Non-transitory computer-readable storage medium for storing information processing program, information processing method, and information processing device

An identification apparatus acquires a protein file in which a plurality of proteins including a plurality of amino acids are arranged. The identification apparatus identifies a plurality of primary structure candidates with any position included in the protein file as a starting position. The identification apparatus identifies one primary structure among the primary structure candidates based on a combination of a primary structure and each amino acid and a primary structure table, where the each amino acid is positioned at an end of the primary structure and the primary structure table associates a primary structure and a cooccurrence rate of a certain amino acid combination positioned at an end of the primary structure.

Method of identification, non-transitory computer readable recording medium, and identification apparatus

An information processing apparatus accepts text data. When specifying a word included in the accepted text data, the information processing apparatus generates a code associated with the specified word and generates information that associates the appearance position of the specified word in the text data with the word. The information processing apparatus stores therein the generated code and the information in association with the accepted text data.

Text processing method and text processing apparatus for generating statistical model

A method for outputting a search result includes: executing a reception process that includes receiving a search query for target data; executing a candidate item identification process that includes referring to index information associating each of a plurality of items included in the target data with a position of a corresponding one of the items, and identifying a first storage area configured to store an item corresponding to a keyword included in the search query; and executing an addition process that includes when a description included in the corresponding one of the items includes a reference to a different item, referring to the index information, and adding information on a second storage area configured to store the different item to the reference to the different item.

Search result output method, search result output method, and non-transitory computer-readable storage medium for storing program

A determining method includes acquiring first direction information, when a first captured image captured by an imaging device is acquired, by referring to a storage storing a plurality of pieces of direction information indicating a plurality of directions associating with respective shapes of a plurality of contours of an object according to a plurality of directions of the object, the first direction information associated with a shape of a contour that corresponds to a shape of a contour of the subject included in the acquired first captured image among the shapes of the contours, and acquiring second direction information, when a second captured image newly captured by the imaging device is acquired, by referring to the storage to acquire second direction information associated with a shape of a contour that corresponds to a contour of the subject included in acquired second captured image among the shapes of contours.

Determining method, information processing apparatus, and recording medium

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.

Effective retrieval of text data based on semantic attributes between morphemes

A non-transitory computer-readable recording medium records an index generation program for causing a computer to execute processing of: inputting data which is described by a combination of an item and a value; and generating index information regarding an appearance position of each of the item and the value for each of the item and the value which are included in the data.

Computer-readable recording medium recording index generation program, information processing apparatus and search method

A semantic vector generation device () obtains vectors of a plurality of words included in text data. The semantic vector generation device () extracts a word included in any group. The semantic vector generation device () generates a vector in accordance with the any group on the basis of a vector of the word extracted among the obtained vectors of the words. The semantic vector generation device () identifies a vector of a word included in an explanation of any semantics of the word extracted among the obtained vectors of the words. The semantic vector generation device () generates a vector in accordance with the any semantics on the basis of the vector identified and the vector generated.

Non-transitory computer readable recording medium, semantic vector generation method, and semantic vector generation device

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.

Method and apparatus for generating context information

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 &#x2018;attribute information indicating a semantic attribute of the first morpheme&#x2019; and &#x2018;position information indicating the position of the first morpheme&#x2019;.

Index generation method, data retrieval method, apparatus of index generation

A file generating device () extracts, when a captured image captured by an image capturing device is acquired, based on the acquired captured image, a shape of an object included in the captured image and generates, based on the extracted shape, text information that includes a drawing indication of the shape. The information processing apparatus () refers to a storage unit that stores therein, regarding each of a plurality of objects, identification information on the objects in association with the text information that includes a drawing indication of the objects and acquires identification information on an object, from among the plurality of objects, that is associated with the text information in which similarity to the generated text information satisfies a criterion.

Method, medium, and apparatus for specifying object included in image utilizing inverted index

A method includes: generating first vector data by vector-converting first sentence data from a user input; specifying plural pieces of second sentence data from among a plurality of second sentence data stored in a storage device, each second sentence data including a plurality of vector data, each of the plural pieces of second sentence data including vector data corresponding to the first vector data; and determining data to be output in connection with the first sentence data by using a degree of similarity between second and third vector data, the second vector data being each of vector data other than the first vector data in certain data included in the specified plural pieces of second sentence data, the third vector data being each of vector data other than the first vector data in data other than the certain data included in the specified plural pieces of second sentence data.

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Kamakura, Japan

Masahiro Kataoka