386 results about "Sentence generation" patented technology

To enable provision of appropriate action guidance to users.SOLUTION: An action control system disclosed herein comprises a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing. The processing unit, upon receipt of a disaster notification notifying of a predetermined disaster, collects disaster information related to the disaster notification, and acquires a result of the specific processing using an output of the sentence generation model that uses a text instructing presentation of action guidance as an action guideline in the collected disaster information.SELECTED DRAWING: Figure 2A

To enable appropriate response to a user input.SOLUTION: An action control system disclosed herein is configured to: input an instruction to inquire about a travel plan to a sentence generation model as a first prompt to generate a travel plan proposal; input an instruction to make a proxy reservation to the sentence generation model as a second prompt to generate a reservation plan proposal, input an instruction to inquire about items to bring on the travel to the sentence generation model as a third prompt to generate travel possession proposal; input an instruction to inquire about questions during travel to the sentence generation model as a fourth prompt to generate proposed answers; and acquire the generated travel plan proposal, reservation plan proposal, travel possession proposal, and proposed answers as a result of specific processing.SELECTED DRAWING: Figure 2A

To provide an interview device, interview method and program, which enable efficient and accurate interviews with interviewees.SOLUTION: An interview device disclosed herein comprises: an input unit for inputting a first text representing an answer of an interviewee and an instruction to ask a question to the answer as an input sentence to a sentence generation model configured to generate an output sentence in response to the input sentence; and an output unit for outputting a question to the interviewee as the output sentence generated by the sentence generation model.SELECTED DRAWING: Figure 5

To enable appropriate response to an utterance of a user.SOLUTION: A control system disclosed herein comprises an input unit for receiving user input, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing. The processing unit determines whether or not the user input includes a travel itinerary creation request and, when affirmative, acquires user interest information to acquire a result of the specific processing using an output of the sentence generation model that uses a text instructing creation of a travel itinerary according to the interest information and information obtained from the user input as the input sentence.SELECTED DRAWING: Figure 2A

To generate a prompt that includes valid sentences as reference information for an input question sentence within a determined character limit.SOLUTION: A sentence generation device comprises: an additional sentence generation unit 11 that generates additional sentences related to a question sentence based on a question sentence input by a user, with a total number of characters including the number of characters in the question sentence not exceeding the character limit that can be input to an answer generation unit 20 of a large-scale language model (LLM) 1; and a prompt generation unit 12 that generates a prompt by adding the additional sentences generated by the additional sentence generation unit 11 to the input question sentence as reference information. The sentence generation device generates the additional sentences so that the number of characters does not exceed the character limit that can be input to the LLM 1 as a prompt, thereby making it possible to generate a prompt that adds valid sentences to the input question sentence as reference information within the determined character limit.SELECTED DRAWING: Figure 2

Assist with scheduling that demonstrates respect for potential participants. [Solution] The schedule adjustment support device 1 of the present invention includes a user data acquisition unit 112, a basic data acquisition unit 113, a schedule acquisition unit 114, a date and time candidate selection unit 116 that selects candidate meeting dates and times based on free time included in the schedule of a user 4 and the schedules of potential participants, and a query generation unit 118 that inputs a prompt that includes the candidate meeting dates and times and basic data about the meeting and generates a query for each of a plurality of potential participants in a written form that respects the potential participants and confirms their intention to attend the meeting at the candidate meeting dates and times into a language model, thereby generating the query.

The invention discloses an intelligent service dialogue method and system fusing a generative large model and a knowledge graph, and the system comprises a language model module which builds a statement reply model based on BERT and carries out the training through a question and answer data set; the data extraction module is used for generating candidate item sets and dividing frequent item sets and non-frequent item sets; the knowledge graph module is used for generating association rules and constructing a first knowledge graph and a second knowledge graph; the mixed retrieval module is used for performing cross retrieval on the two knowledge maps to generate a path; the personalized user module is used for determining a demand intention and an emotional tendency value; the statement generation module is used for generating a reply statement by taking the emotional tendency value as a dynamic weight and combining a user demand and a retrieval path; and the habit perception module is used for constructing a habit function and continuously learning habit characteristics of the user through a reinforcement learning optimization model. The system not only can provide accurate and personalized dialogue service for the user, but also can better adapt to the use habit of the user, improves the user experience, and has better interpretability.

A system and method for generating question-answer pairs is disclosed. The system and method can receive a document. A sentence and / or a further sentence in the document may be identified. A syntactic map for the sentence and / or the further sentence may be generated. Noun phrases and prepositional phrases may be identified based on the syntactic map. Sentence level questions may be generated based on phrases identified using natural language processing (NLP) techniques. Document level questions can also be generated based on syntactic maps generated and NLP techniques.

To enable provision of assistance in maintaining the health of a particular person while reducing food loss.SOLUTION: A control system disclosed herein comprises an input unit for receiving user input, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to input data, and an output unit configured to control an electronic device to output a result of the specific processing. The processing unit determines whether the user input includes a request for creating a menu for a particular person or not and, when affirmative, acquires ingredient stock information and health information of the particular person and controls the specific processing using an output of the sentence generation model that uses a text instructing creation of a menu according to the ingredient stock information, the health information, and information obtained from the user input as the input data.SELECTED DRAWING: Figure 4D

To provide a sentence generating device capable of easily creating sentences showing a person's tendencies. [Solution] The system includes an answer extraction unit that extracts answer results for answer items to question items that match a second condition from answer items included in the survey results for respondents who match a first condition, among the answer results of a survey given to multiple respondents, and a sentence generation unit that generates a sentence expressing the tendencies of respondents who match the first condition in accordance with the answer results extracted by the answer extraction unit.

A method includes preparing a base model using an input model pretrained on at least three languages different from each other and a base vocabulary including words corresponding to two languages among the at least three languages, where the preparing the base model includes constraining the input model to the words included in the base vocabulary; training the base model using a first enhanced training dataset generated from public data, to generate a text summarization model; training the base model using a second enhanced training dataset generated from the first enhanced training dataset, to generate a text generation model; and training the base model using a third enhanced training dataset that is generated using the second enhanced training dataset and the text summarization model, to generate a next sentence generation model.

To cause an electronic device to perform processing for functioning as an assistant to users.SOLUTION: An action control system disclosed herein comprises an input unit for receiving user-related information, a processing unit configured to autonomously perform specific processing using a sentence generation model for generating a sentence according to input content, and an output unit configured to control an action of an electronic device to output a result of the specific processing. The processing unit determines whether a predetermined trigger condition is met or not and, when affirmative, acquires a result of the specific processing using an output of the sentence generation model that uses the user-related information as the input sentence.SELECTED DRAWING: Figure 2A

To cause an electronic apparatus to execute appropriate processing on an utterance of a user.SOLUTION: A behavior control system 5 includes a processing section 290 using a sentence generation model for generating a sentence corresponding to an input sentence. In a case where a first trigger condition is satisfied, the processing section 290 acquires an output of the sentence generation model when an instruction sentence for requesting the acquisition of an expression representing physical and mental health states of the user from a sentence representing the utterance content of the user is input to the sentence generation model as the input sentence. In a case where a second trigger condition is satisfied, the processing section acquires an evaluation result using the output of the sentence generation model when an instruction sentence for requesting the output of the evaluation result representing a change in the physical and mental health states of the user is input to the sentence generation model as the input sentence on the basis of the expression representing the physical and mental health states of the user accumulated in a storage section.SELECTED DRAWING: Figure 2A

The disclosure provides a sentence generation method based on a large language model including: obtaining a query sentence, in which the query sentence has at least one candidate description object; performing semantic recognition on the query sentence to obtain first semantic information and second semantic information corresponding to the query sentence, in which categories of the first semantic information and the second semantic information are different; inputting the at least one candidate description object and the first semantic information into the large model, to identify a target description object from the at least one candidate description object based on the large model; selecting target service data from at least one piece of service data corresponding to the target description object based on the second semantic information; and generating a reply sentence corresponding to the query sentence according to the target service data.

The invention discloses a method for generating statements from natural languages to SQL (Structured Query Language) based on a large language model agent. The method comprises the following steps of: constructing an LLM (Logical Language Model) guide table mode index for a target database; obtaining a user natural language question and extracting a keyword; searching in an LLM guidance table mode index according to the keyword, and screening related data tables; splicing the table mode information and the keywords of the related data table into a user natural language problem, and constructing an enhanced cue word; based on the large language model intelligent agent, generating SQL statements according to the enhanced cue words and verifying the SQL statements, if the SQL statements succeed in verification, obtaining the required SQL statements, and if the SQL statements fail in verification, performing iterative closed-loop correction on the generated SQL statements through an SQL statement closed-loop correction workflow; if the corrected SQL statement is successfully verified, the required SQL statement is obtained, and if the corrected SQL statement fails and the number of times of correction reaches a threshold value, the suggestions that the natural language problem of the user has defects and is modified are output. According to the method, the accuracy and success rate of SQL statement generation can be improved.

To make an appropriate response to user input.SOLUTION: An action control system includes: a sentence generation model which has been trained with training data which is data indicating clothing suitable for combinations of multiple face types, multiple personal colors, and multiple skeleton types; and a processing unit which determines whether a predetermined trigger condition is satisfied or not, inputs, when the trigger condition is satisfied, to the sentence generation model, as a prompt, an instruction to inquire face type, personal color, and skeleton type of a user and clothing acquired from user input, generates suitable commodity information on commodities suitable for the user stored in a predetermined database, and acquires the generated suitable commodity information as a result of specific processing.SELECTED DRAWING: Figure 2A

To make an electronic device take an appropriate action in response to an action of a user.SOLUTION: An action control system disclosed herein comprises an input unit for receiving user input including information on date of birth and an area of residence of a particular infant, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing, where the specific processing comprises suggesting meal recipes for the infant. The processing unit determines whether a predetermined trigger condition is met or not and, when affirmative, suggests meal recipes for the infant using an output of the sentence generation model that uses information obtained from the user input as the input sentence.SELECTED DRAWING: Figure 2

To provide assistance in creating a travel plan.SOLUTION: A control system disclosed herein comprises an input unit for receiving information from a user, a processing unit configured to perform specific processing using a sentence generation model for generating a sentence according to input information, and an output unit configured to control an electronic device to output a result of the specific processing. The processing unit inputs travel-related request information from the user to the sentence generation model to perform processing for generating a travel plan to be recommended to the user as the specific processing.SELECTED DRAWING: Figure 2B

The invention discloses a neural network infrared small target detection method and system based on Mama, and relates to the field of computer vision. The method mainly comprises the following steps: firstly, an image passes through a visual word and sentence generation module to obtain coded visual words and visual sentences; secondly, extracting the features of visual words and visual sentences by using different visual Mama blocks in an encoder; then fusing the features of different levels in a decoder by using a visual Mama block; and finally obtaining a detection result through the detection head. The features are generated and extracted through the visual word and visual sentence module, so that the diversity of the features can be ensured, the feature representation capability of the model is improved, and the Mamba-ISTD-Net can extract the infrared small target visual information with refined granularity; while the linear calculation complexity is maintained, the local features and global features of the infrared small target are fully extracted, and the detection precision and efficiency of the infrared small target can be effectively improved.

To provide a translation support device and a program that can obtain natural translated sentences using designated words as designated translation words.SOLUTION: A translation support device for acquiring a sentence generation processing result using generation model information in a machine-learned state to generate a sentence based on an instruction in a language acquires bilingual information including an original sentence and a translated sentence obtained by machine translation, refers to a terminology database that holds designated words in a language of the original sentence and corresponding designated translation words in a language of the translation sentence in association with each other to generate an instruction that the translated sentence of the bilingual information should be a sentence in which the designated word included in the original sentence of the bilingual information is translated with the designated translation word held in the terminology database in association with the designated word, and acquires a sentence that is the sentence generation processing result obtained using the generation model information as modified translated sentence information.SELECTED DRAWING: Figure 1

To improve the usability of a data analysis tool.SOLUTION: An information providing apparatus 10 has an interface unit 11, a prompt generation unit 13, and a text generation unit 16. The prompt generation unit 13 generates a prompt for causing a language model to generate a text for supporting the use of a data analysis tool, on the basis of a request received from a terminal device on which the data analysis tool is to be executed. The text generation unit 16 generates a text by inputting the prompt generated by the prompt generation unit 13 to the language model. The interface unit 11 causes the terminal device to display the text generated by the text generation unit 16.SELECTED DRAWING: Figure 1

To enable provision of assistance in planning menus according to a wish of each individual.SOLUTION: A control system disclosed herein comprises an input unit for receiving user input, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to input data, and an output unit configured to control an electronic device to output a result of the specific processing. The processing unit determines whether or not the user input includes a menu creation request and, when affirmative, performs first specific processing for creating a menu using an output of the sentence generation model that uses a text instructing creation of a menu according to information obtained from the user input as the input data, and then performs second specific processing for generating a list of ingredients to be used for the created menu and ordering the ingredients on the list.SELECTED DRAWING: Figure 4C

To provide a sentence generation device, a sentence generation system, a sentence generation method, and a program capable of acquiring a sentence desired by a user.SOLUTION: A sentence generation device acquires an output sentence regarding theme information to be provided to an objective person. The sentence generation device includes: a persona information setting unit which sets the persona information indicating an attribute of the objective person; an input sentence generation unit which generates an advice sentence being a sentence regarding the objective person on the basis of the persona information, by not using the theme information, but by using a learning model, and extracts a key phrase from the advice sentence; and an output sentence acquisition unit which acquires an output sentence generated by using the learning model on the basis of the key phrase extracted by the input sentence generation unit and the theme information.SELECTED DRAWING: Figure 2

To provide an information processing system quickly and appropriately replying to post information.SOLUTION: An information processing system includes: acquisition means for acquiring post information posted about a prescribed object; template selection means for selecting, on the basis of the acquired post information, template information including a preset template sentence usable for a reply to the post information; and request means for transmitting the selected template information and the post information to a sentence generation device and requesting to generate a reply sentence to the post information.SELECTED DRAWING: Figure 2

The invention relates to an efficient negative sampling and retrieval fused context path inductive relationship prediction method, and belongs to the field of knowledge graph link prediction. The method comprises the following steps: carrying out semantic perception negative sampling; extracting and filtering a path; extracting and filtering a context; performing detailed information retrieval based on a large language model; sentence generation; performing embedding generation; and generating a prediction result and training. According to the method, a more effective negative triple is generated by introducing a semantic perception negative sampling technology, the limitation of traditional random negative sampling is overcome, paths and multi-hop contexts are extracted and filtered from the query triple, long and short entities and relation description are combined into sentences, the multi-hop contexts of a head entity and a tail entity are innovatively sampled, and the sentence extraction efficiency is improved. And irrelevant contents are filtered based on similarity, so that the problem of path scarcity or missing is effectively solved.

To enable provision of an appropriate processing result in response to a user input.SOLUTION: A control system disclosed herein comprises an input unit for receiving user input, a processing unit configured to perform specific processing using a sentence generation model for generating a sentence according to input content, and an output unit for outputting a result of the specific processing. The processing unit acquires the result of the specific processing using an output of the sentence generation model that uses, as the input content, content generated based on relevant information with a degree of relevance that satisfies a predetermined condition as acquired from a database obtained by converting information provided to a user into multi-dimensional vectors, and information obtained from the user input.SELECTED DRAWING: Figure 15

The embodiment of the invention provides a data analysis method and system based on retrieval enhancement, and the method can obtain query information in a natural language text form, and retrieves enhancement information in a current domain knowledge base according to the query information, the enhanced information comprises one or more combinations of data definition language annotations, query engine grammar documents, business statement cases and custom domain indexes. And inputting the query information and the enhanced information into a statement generation model, and generating a query statement based on a retrieval result of the statement generation model. And executing the query statement through the database query engine, and obtaining the target data from the database. According to the method, semantic mapping of table names or fields can be established by constructing data definition language statements with annotations and query statement question and answer pairs, and the efficiency and accuracy of natural language query are improved.

To make an electronic device take an appropriate action in response to an action of a user.SOLUTION: An action control system disclosed herein comprises an input unit for receiving user input, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing. The processing unit determines whether or not an instruction to generate a meeting minutes of a meeting was received as a predetermined trigger condition and, when affirmative, acquires a meeting minutes as a result of the specific processing using an output of the sentence generation model that uses a text comprising a text representing audio of the meeting as obtained from the user input and the instruction to generate the meeting minutes as the input sentence.SELECTED DRAWING: Figure 2B

A training data augmentation device (10) includes: an augmented sentence generator (11) configured to generate a plurality of augmented sentences by processing a sentence for training included in training data given in advance according to a plurality of degrees of word replacement; and an augmentation data generator (12) configured to derive a degree of association in a word pair having a dependency relationship in each augmented sentence, determine whether or not to add the augmented sentence to augmentation data for augmenting the training data for each stage based on a comparison result between an obtained degree of association and thresholds of a plurality of stages determined in advance, and generate augmentation data of a plurality of stages by an augmented sentence determined to be added.

To allow characteristics of each of multiple matching target users to be set.SOLUTION: A control system disclosed herein comprises an input unit for receiving user input, a processing unit configured to perform specific processing using a sentence generation model for generating a sentence according to an input sentence after performing pre-processing for digitizing characteristics of each of multiple users on the basis of basic data including an attribute of each of the multiple users, and an output unit configured to control an action of an electronic device to output a result of the specific processing. In the pre-processing, the processing unit digitizes the characteristics by providing specific questions for setting characteristics of each of the multiple users.SELECTED DRAWING: Figure 2B