62 results about "Problem statement" patented technology

Models that encapsulate information on how remote applications are controlled and data is accessed are created to be used by a runtime agent that intelligently reasons out goal-oriented plans and execute tasks to solve problem statements generated by a user interface or other software agents. The models may be used to assemble workflows using a reasoning process. In particular, the models of the present invention include a state that includes a planning state and a navigational value. In embodiments of the invention, the models may include intelligent agents, a loop state, submodel invocation that allows the models to invoke agents over a network, and the ability to integrate the three application layers in a computer.

A method for problem solving in a computer system includes an applications module for sending a problem statement to a complexity module, which configures a solving module with configuration parameters and also determines expected problem solver behavior. The solving module selects a set of parameter configuration vectors, determines a set of search space points, performs a partial search based on the parameter configuration vectors, and determines actual problem solver behavior. The solving module then determines whether a problem solution has been found, whether to perform a solver iteration step or request a complexity module to perform an adaptation step.

A method for troubleshooting a problem with a device includes acquiring device data for the device, receiving a user's query concerning a device in a natural language, presenting possible refinements to at least a portion of the user's query for defining a problem statement, presenting candidate solutions that are associated with the defined problem statement in a knowledge base, at least one of the presentation of possible refinements and the presentation of candidate solutions being informed by device data that is linked through a diagnostic model of the device to at least one of the problem statements and candidate solutions.

A system suited to self-troubleshooting includes a processor which identifies normalized forms of at least some of the words of a natural language user query input by a user. The user query may describe a problem experienced with a machine, such as a printer. The processor retrieves text strings which may comprise problem statements stored in memory. Each retrieved problem statement includes at least one word with a normalized form which is recognized by the processor as being equivalent to one of the identified normalized forms. Each of the retrieved problem statements may be associated with at least one solution sequence for addressing the problem with the machine. In the event that the stored problem statements in memory are not fully responsive, the processor provides one or more options for refinement of the user query based on tags associated with those words of the problem statements which are responsive.

A question answering system estimates an answer type of an answer from a input question statement, extracts keywords from the question statement and retrieves a document database, extracts language expressions (answer candidates) from the extracted document data, assigns evaluation points thereto. When there are a plurality of answer candidates having the same language expression, the system sorts those evaluation points in descending ranking order of evaluation, calculates values of evaluation points using such weighting that the value to be processed for each evaluation point diminishes, regards the sum total of those values as the evaluation point of the answer candidate, and outputs the answer candidate whose counted evaluation point is equal to or greater than a predetermined evaluation as an answer.

The invention provides a dialogue data interaction processing method based on a recurrent neural network. The method comprises the following steps: receiving a dialogue input statement of a user; carrying out knowledge base matching calculation, and judging whether a knowledge base has a problem statement, the matching degree between which and the dialogue input statement reaches a preset value; if not, requesting a dialogue generation model to give an answer to the dialogue input statement, wherein a coding layer of the dialogue generation model is constructed into the recurrent neural network, analyzing the dialogue input statement in the recurrent neural network to obtain a middle vector expressing problem meanings, and a decoding layer of the dialogue generation model is also constructed into the recurrent neural network, analyzing the middle vector in the recurrent neural network to obtain an answer vector group expressing answer meanings; and taking the answer vector group as an answer output statement and outputting the answer output statement. The method can enable human-machine interaction to be smoother; and answers given by the dialogue generation model can further enable the knowledge base to be expanded and updated.

A lightweight document matcher employs minimal processing and storage. The lightweight document matcher matches new documents to those stored in a database. The matcher lists, in order, those stored documents that are most similar to the new document. The new documents are typically problem statements or queries, and the stored documents are potential solutions such as FAQs (Frequently Asked Questions). Given a set of documents, titles, and possibly keywords, an automatic back-end process constructs a global dictionary of unique keywords and local dictionaries of relevant words for each document. The application front-end uses this information to score the relevance of stored documents to new documents. The scoring algorithm uses the count of matched words as a base score, and then assigns bonuses to words that have high predictive value. It optionally assigns an extra bonus for a match of words in special sections, e.g., titles. The method uses minimal data structures and lightweight scoring algorithms to compute efficiently even in restricted environments, such as mobile or small desktop computers.

Techniques are provided for addressing a problem pertaining to a computer of a user. In an exemplary method, the obtaining of a problem statement associated with the problem pertaining to the computer of the user is facilitated. This can be carried out via speech over a telephony connection. The establishment of a remote access connection between the computer of the user and a remote help desk application can also be facilitated. Furthermore, substantially parallel interaction with the user can be facilitated, via both the telephony connection and the remote access connection to the remote help desk application.

In general, in one aspect, the invention features a system for facilitating conception of inventions in a directed manner. The system preferably includes a computer processor programmed to execute one or more of the following; requesting and accepting data input; aggregating and storing the input data; and providing output displaying the aggregated input data. The input data may include the following: mess statements; data statements relating to the mess statements; problem statements relating to the data statements; elements relating to the problem statements, mess statements and/or data statements; solutions to the problem statements; limitations of problem-element-solution combinations; and solutions to the limitations.

Design process that performs geometry synthesis on a 3D model of a product based on a design problem statement and manufacturing constraints associated with a manufacturing machine intended to manufacture the product. The manufacturing constraints may include dimensions for a tool bit, dimensions for a tool head, a set of machining directions of the manufacturing machine, or any combination thereof. For a 5-axis manufacturing machine, the set of machining directions may be determined by a “NormalSearch” algorithm and/or a “HeatSearch” algorithm. The geometry synthesis produces a design solution comprising a final 3D model of the product, whereby each point on the boundary of the final 3D model is determined to be accessible by a tool bit and/or tool head in at least one machining direction of the manufacturing machine. Thus, the design solution for the product is more easily and directly manufacturable by the manufacturing machine.

Reducing search-ability of text-based problem statements. An input text representing a problem statement using context phrases and content-bearing phrases, and having a first level of search-ability, is converted to one or more variants representing the same problem statement but with reduced search-ability. A search for one of the variants is unlikely to return the original problem statement, or any of the other variants. An ontology is used that specifies a set of keywords related to the problem statement, associates each keyword with a respective language property definition and a respective equivalence class, and indicates a subset of the set of keywords as non-replaceable keywords. A language processor uses the ontology to parse the input text and generate one or more variations.

The present invention is a system and method for inspections and compliance verification of industrial equipment using a handheld device. An inspector first segments an inspected component into logical inspection points. The inspector then scans a unique machine-readable tag, such as an RFID tag, with a handheld device at each logical inspection point. The inspector then takes a media sample, such as a digital photograph, of the physical component referred to by each corresponding logical inspection point. Then the inspector associates the media samples with the corresponding scan of the unique machine-readable tag. For each of the actions the inspector carries out on the handheld device, a timestamp is added that represents evidence of a date and a time of physical visitation to the associated logical inspection point. The inspector may then annotate the media samples in such ways that substantiate inspector statements of problems with inspected components found during inspection.

A guided natural language interface, a method for guiding a user in specifying a color problem with a document image, and a set of templates for use in the interface and method are provided. The interface includes computer readable memory which stores a set of issue description templates, each template being configured for guiding a user in formulating a problem statement characterizing, in natural language, a problem related to color identified in an input document. A natural rendering engine receives information input by a user and/or information input from an associated problem detector, and instantiates one of the templates in response thereto. The natural language rendering engine is configured for presenting the problem statement to the user as it is refined and communicating information based on the refined problem statement to an associated problem corrector.

A data processing method and a server are disclosed. After the problem statement is obtained, based on the sentence components of the problem statement, the question category to which the problem statement belongs is determined, and if the question statement falls into the predetermined question category, Dependency syntactic analysis is carried out on the problem statement to obtain dependency information among the constituent elements of the problem statement, and then structural analysis is carried out on the problem statement based on the dependency information among the constituent elements of the problem statement and sentence components of the problem statement to obtain structural information of the problem statement. By using the dependency information among the constituent elements of the question statement and the sentence components of the question statement, the problem statement can be structurally parsed, and the user's question intention can be accurately identified based on the parsing results.

The invention provides a question statement classification method and device, an electronic device and a computer storage medium. The method comprises the steps of receiving to-be-classified questionstatements; determining a classification feature of the question statement, the classification feature being used for representing semantics and associated knowledge of the question statement, and theassociated knowledge being associated knowledge corresponding to a questioned object in semantics; and determining the category of the question statement according to the classification features. Problem statements can be automatically marked, and the labor cost is greatly saved while the working efficiency is improved.

A computing device for receiving a design problem statement describing a design problem in a controlled natural language (CNL) that defines permitted lexicons and syntax structures. The design problem statement is processed using the CNL lexicons and syntax structures to produce a job description executable by a design application for generating a design solution for the design problem statement. An improved CNL user interface that assists users to produce valid design problem statements that are CNL-compliant. The CNL user interface receives user-selectable terms that are compliant with the CNL lexicons and generates candidate problem statements that are compliant with CNL syntax structures and receives a selection of a candidate problem statement that is added to the design problem statement. A graphical user interface may display a graphical representation of a design problem statement that can be directly modified. A dialogue-based design process to explore possible design intentions and design solutions.

The invention discloses a method for solving a problem-based video clip extraction task by using a cross-model interaction network. The method mainly comprises the following steps: 1), for problem statements and video frames, acquiring cross-model semantic expressions of the video frames by utilizing a semantic image convolutional network, a multi-head self-attention module and a multi-step cross-model interaction module; and 2), for the obtained cross-model semantic expression of the video frame, calculating a loss function and training a model, and performing problem-based fragment extraction on the video by using the trained cross-model interaction network. Compared with a common video clip extraction solution, the method has the advantage that various kinds of effective information arecomprehensively utilized. Compared with a traditional method, the method has the advantage that the effect obtained in a problem-based video clip extraction task is better.