Abstract: A non-transitory computer-readable recording medium storing a learning program that causes a computer to execute a process, a process includes acquiring a first input sentence and a first summary sentence into which the first input sentence is summarized, generating a second summary sentence to which the first summary sentence is partially-changed, and executing machine learning for a model to generate at least one summary sentence that corresponds to at least one input sentence, respectively, in response to an input of the at least one input sentence, such that a first probability of generating the first summary sentence in response to the input of the first input sentence becomes higher than a second probability of generating the second summary sentence in response to the input of the first input sentence, based on the first input sentence, the first summary sentence, and the second summary sentence.

Abstract: A text generation apparatus receives a first text. The text generation apparatus specifies a first position in the first text of a word that is identical to a first word whose use in a second text to be generated based on the first text has been determined. The text generation apparatus selects a second word from a plurality of words included in the first text based on positional relationships between each of the plurality of words and the first position. The text generation apparatus generates the second text including the second word.

Abstract: Provided herein are compounds of formula (I): or a stereoisomer or tautomer thereof, or a pharmaceutically acceptable salt of any of the foregoing, wherein X1, X2, Ry, Rz, R1, R2, R3, and R4 are as defined herein. Also provided herein is a pharmaceutically acceptable composition comprising a compound of formula (I), or a stereoisomer or tautomer thereof, or a pharmaceutically acceptable salt of any of the foregoing. Also provided herein are methods of using a compound of formula (I), or a stereoisomer or tautomer thereof, or a pharmaceutically acceptable salt of any of the foregoing, to treat various diseases, disorders, and conditions responsive to the modulation of the contractility of the skeletal sarcomere.

Abstract: A non-transitory computer-readable recording medium stores a machine learning program for causing a computer to execute processing including: calculating a first attention score of each token divided from a target document of a token sequence in parallel; calculating a coverage score of each token on the basis of the calculated first attention score of each token; calculating a second attention score of each token in the token sequence in parallel on the basis of the calculated coverage score of each token; and calculating a probability that the token is included in a summary sentence from the target document for each token on the basis of the calculated second attention score of each token.

Abstract: A computer-implemented learning method includes combining a first score for a word included in a dictionary of a model and a second score for the word calculated based on a length of the word and a number of remaining characters up to an upper limit number of characters of a summary, the first score being output in response to input of input text to the model, calculating, based on a combined score generated by the combining, a distribution of generation probabilities of the word, and updating, based on the calculated distribution of the generation probabilities, parameters in the model.

Abstract: A non-transitory computer-readable recording medium storing a learning program that causes a computer to execute a process, a process includes acquiring a first input sentence and a first summary sentence into which the first input sentence is summarized, generating a second summary sentence to which the first summary sentence is partially-changed, and executing machine learning for a model to generate at least one summary sentence that corresponds to at least one input sentence, respectively, in response to an input of the at least one input sentence, such that a first probability of generating the first summary sentence in response to the input of the first input sentence becomes higher than a second probability of generating the second summary sentence in response to the input of the first input sentence, based on the first input sentence, the first summary sentence, and the second summary sentence.

Abstract: An information processing method for a computer to execute a process includes extracting, from a first document, a word not included in a second document; registering the word in a first dictionary; acquiring an intermediate representation vector by inputting a word included in the second document to a recursion-type encoder; acquiring a first probability distribution based on a result of inputting the intermediate representation vector to a recursion-type decoder that calculates a probability distribution of each word registered in the first dictionary; acquiring a second probability distribution of a second dictionary of a word included in the second document based on a hidden state vector calculated by inputting each word included in the second document to the recursion-type encoder and a hidden state vector output from the recursion-type decoder; and generating word included in the first document based on the first probability distribution and the second probability distribution.

Abstract: A computer-implemented summary generation method includes obtaining input text; generating an initial lattice including serially coupled nodes corresponding to words within the input text; generating a node corresponding to an expression within the initial lattice; adding the generated node to the initial lattice to provide an extended lattice corresponding to the input text; calculating a generation probability of each word within the input text using a dictionary and a machine learning model (model); calculating a generation probability for each node included in the extended lattice based on a hidden state output by a cell corresponding to the node among cells in an encoder of the model and a hidden state updated by a cell in a decoder of the model; and generating an element of a summary of the input text based on the generation probability of each word and the generation probability of each node of the extended lattice.

Abstract: A generating method includes: obtaining input text; calculating, for each encoder time corresponding to a word string in the input text, a hidden state at the encoder time from a hidden state at one previous encoder time based on a word in the input text and a label of a named entity corresponding to the encoder time; executing an input processing that includes inputting the hidden state output from the encoder to a decoder; calculating, for each decoder time corresponding to the word string in a summary output from the decoder, a hidden state at the decoder time from a hidden state at one previous decoder time based on the word and label of the named entity in the summary generated at the one previous decoder time.

Abstract: A computer-implemented summary generation method includes obtaining input text; generating an initial lattice including serially coupled nodes corresponding to words within the input text; generating a node corresponding to an expression within the initial lattice; adding the generated node to the initial lattice to provide an extended lattice corresponding to the input text; calculating a generation probability of each word within the input text using a dictionary and a machine learning model (model); calculating a generation probability for each node included in the extended lattice based on a hidden state output by a cell corresponding to the node among cells in an encoder of the model and a hidden state updated by a cell in a decoder of the model; and generating an element of a summary of the input text based on the generation probability of each word and the generation probability of each node of the extended lattice.

Abstract: A computer-implemented learning method includes combining a first score for a word included in a dictionary of a model and a second score for the word calculated based on a length of the word and a number of remaining characters up to an upper limit number of characters of a summary, the first score being output in response to input of input text to the model, calculating, based on a combined score generated by the combining, a distribution of generation probabilities of the word, and updating, based on the calculated distribution of the generation probabilities, parameters in the model.

Abstract: To provide a compound which can be used as an MC4 receptor agonist. The present inventors have investigated MC4 receptor agonists, and have found that a piperazine derivative has an action related to the agonists, thereby completing the present invention. That is, the piperazine derivative of the present invention has an MC4 receptor agonistic action, and can be used as an agent for preventing or treating bladder and/or urinary tract diseases, in particular, underactive bladder, hypotonic bladder, acontractile bladder, detrusor underactivity, neurogenic bladder, urethral relaxation failure, detrusor-external urethral sphincter dyssynergia, and voiding dysfunctions in benign prostatic hyperplasia.

Abstract: A learning method includes acquiring a query or a matching document text to which a label of a correct answer is given; calculating a first score of the matching document text with respect to the query from a first N-dimensional vector of the query and a second N-dimensional vector of the matching document text; acquiring a plurality of candidates of a non-matching document text to which a label of an incorrect answer not matching the query is given; calculating, for each of the plurality of candidates, a second score with respect to the query; selecting, as the non-matching document text, a candidate having a maximum of the second score; determining whether to update the first model and the second model based on comparison of the first score and the second score; and updating the first model and the second model when a result of the determination satisfies a predetermined condition.

Abstract: [Problem] To provide a compound which can be used as an MC4 receptor agonist. [Means for Solution] The present inventors have investigated MC4 receptor agonists, and have found that a piperazine derivative has an action related to the agonists, thereby completing the present invention. That is, the piperazine derivative of the present invention has an MC4 receptor agonistic action, and can be used as an agent for preventing or treating bladder and/or urinary tract diseases, in particular, underactive bladder, hypotonic bladder, acontractile bladder, detrusor underactivity, neurogenic bladder, urethral relaxation failure, detrusor-external urethral sphincter dyssynergia, and voiding dysfunctions in benign prostatic hyperplasia.

Abstract: A computer-implemented method for creating and searching a database, the method including, storing inquiry data within a database, dividing the inquiry data into sentences to generate sentence data, segmenting the sentence data to obtain word string data, identifying a plurality of content words within with the word string data, calculating a first probability for each of the plurality of content words, the first probability indicating a probability of a first word being adjacent to a second word, receiving an instruction including at least one word string, selecting a first extended keyword having a highest probability of being adjacent to the word string, extracting a second extended keyword having a lower probability than the first content word of being adjacent to the word string, searching the database based on a word string, first extended keyword and second extended keyword.

Abstract: An information processing apparatus 1 groups, for each FAQ, past inquiries into resembling inquiries and non-resembling inquiries, computes, for each FAQ, the feature amounts of respective words for the corresponding FAQ that appear in the grouped resembling inquiries, converts, for each FAQ, by using the feature amounts of respective words for the corresponding FAQ, a word string to be extracted from the grouped resembling inquiries into a feature amount vector and converts a word string to be extracted from the grouped non-resembling inquiries to a feature amount vector, and updates, for each FAQ, a parameter vector that indicates importance degrees of the respective words for the FAQ on the basis of the feature amount vector of the word string extracted from the grouped resembling inquiries and the feature amount vector of the word string extracted from the grouped non-resembling inquiries.

Abstract: The present invention relates to a new cyclic peptide compound or a salt thereof, which has anti-hepatitis C virus activities based on inhibitory activity against the RNA replication of hepatitis C virus replicon, a process for preparation thereof, a pharmaceutical composition comprising the same, and a method for prophylactic and/or therapeutic treatment of hepatitis C in a human being or an animal.

Abstract: Provided is a vibrating device which can generate efficient vibrations in a vibrating member and efficiently apply vibrations to a gas, a jet flow generating device in which the vibrating device has been implemented, and an electronic device in which the jet flow generating device has been implemented. A jet flow generating device 10 has a vibrating device 15 including a frame 4, and actuator 5 mounted on the frame 4, and a vibrating member 3 supported on the frame 4 by an elastic supporting member 6. The vibrating member 3 has a side plate 3b formed on the perimeter portion of a disc-shaped vibrating plate 3a, for example. Vibration of the vibrating member 3 applies vibrations to air within chambers 11a and 11b, whereby gas can alternatingly be blown from nozzles 2a and 2b.

Abstract: The present invention relates to a new cyclic peptide compound or a salt thereof, which has anti-hepatitis C virus activities based on inhibitory activity against the RNA replication of hepatitis C virus replicon, to a process for preparation thereof comprising a rearrangement reaction under a mild acidic condition and the following amino acid changing reactions etc., to a pharmaceutical composition comprising the same, and to a method for prophylactic and/or therapeutic treatment of hepatitis C in a human being or an animal.

Abstract: Provided is a vibrating device which can generate efficient vibrations in a vibrating member and efficiently apply vibrations to a gas, a jet flow generating device in which the vibrating device has been implemented, and an electronic device in which the jet flow generating device has been implemented. A jet flow generating device 10 has a vibrating device 15 including a frame 4, and actuator 5 mounted on the frame 4, and a vibrating member 3 supported on the frame 4 by an elastic supporting member 6. The vibrating member 3 has a side plate 3b formed on the perimeter portion of a disc-shaped vibrating plate 3a, for example. Vibration of the vibrating member 3 applies vibrations to air within chambers 11a and 11b, whereby gas can alternatingly be blown from nozzles 2a and 2b.