Abstract: Provided is a system, method, and apparatus for automatically preparing documents for a multi-national organization, such as preparation of international documents, regulatory filings, tax document preparation or financial reports. The method includes generating a document preparation workflow based on multi-national organization data for the multi-national organization, the document preparation workflow including a sequence of nodes based on multi-national organization data and rules data, the multi-national organization data including at least one multi-national organization chart and transactions associated with the multi-national organization, configuring at least one node of the sequence of nodes by identifying at least one role associated with the at least one node of a plurality of roles, and executing the document preparation workflow by automatically performing a plurality of actions associated with the sequence of nodes based on the multi-national organization data and the rules data.

Abstract: A minimal distinguishing prefix (MDP) is computed for terms included in a list of terms. The MDP for a term is the minimal prefix that differentiates the term from the immediately preceding term. Lengths of the computed MDPs are compared, and a set of MDPs is selected for inclusion in a trie. A trie generator generates a trie including a plurality of leaf nodes based on the selected MDPs, where each leaf node in the trie corresponds to a respective one of the selected MDPs, such that the terms accessible through a particular leaf node include the term corresponding to the respective one of the selected MDPs and any other terms positioned in the list between that term and a term corresponding to a next one of the selected MDPs in the trie.

Abstract: A visual-based classification model influenced by text features as a result of the outputs of a text-based classification model is disclosed. A system receives one or more documents to be classified based on one or more visual features and provides the one or more documents to a student classification model, which is a visual-based classification model. The system also classifies, by the student classification model, the one or more documents into one or more document types based on one or more visual features. The one or more visual features are generated by the student classification model that is trained based on important text identified by a teacher classification model for the one or more document types, with the teacher classification model being a text-based classification model. Generating training data and training the student classification model based on the training data are also described.

Abstract: In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

Abstract: A management server obtains first data indicating an input value in a measurement test regarding a user's sense of taste, obtains rating information indicating the user's rating of a dish or a restaurant, generates an evaluation value of the user's sense of taste based on the first data. One search filter for filtering dishes or restaurants by using rating results of dishes or restaurants rated by sense-of-taste top scorers is provided on a dish search screen. When the evaluation value of the user's sense of taste satisfies a certain condition for the sense-of-taste top scorers, the rating information indicating the user's rating of the dish or the restaurant is included in the rating results of the dishes or restaurants rated by the sense-of-taste top scorers.

Abstract: An analysis system connects to a set of data sources and perform natural language questions based on the data sources. The analysis system connects with the data sources and retrieves metadata describing data assets stored in each data source. The analysis system generates an execution plan for the natural language question. The analysis system finds data assets that match the received question based on the metadata. The analysis system ranks the data assets and presents the ranked data assets to users for allowing users to modify the execution plan. The analysis system may use execution plans of previously stored questions for executing new questions. The analysis system supports selective preprocessing of data to increase the data quality.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the determination of control policies for robots through the performance of simulations of robots and real-world context to determine control policy parameters.

Abstract: A active learning family-based review method includes selecting a document ranked as relevant by a machine learning model, identifying family documents relationally-linked to the ranked relevant document, generating a batch including the ranked relevant document adjacent to the family documents, and displaying the batch in a computing device. An active learning family-based review computing system includes a processor and a memory storing instructions that, when executed, cause the computing system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch. A non-transitory computer readable medium stores program instructions that when executed, cause a computer system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch.

Abstract: Methods, systems, articles of manufacture, and apparatus are disclosed to map client specifications to standardized characteristics. An example apparatus includes a cluster identifier to cluster client databases into client clusters based on a threshold quantity of overlapping universal product codes (UPCs) between respective ones of the client databases, a characteristic analyzer to identify custom characteristics from the respective ones of the client clusters, ones of the custom characteristics having dissimilar nomenclature, and a graph builder to cluster the ones of the custom characteristics based on a similarity metric, and normalize the ones of the custom characteristics as a proxy characteristic, the proxy characteristic having a common nomenclature to represent the ones of the custom characteristics, the characteristic analyzer to enable improved product marketing analysis by replacing dissimilar nomenclature with the proxy characteristic.

Abstract: The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.

Abstract: In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.

Abstract: A system for ranking electronic documents based on reference frequency includes a central controller in electronic communication with a document database. The central controller maintains a graphical model of the electronic documents that identifies all references between documents. A weight is automatically calculated and assigned to each reference within the graphical model in order to increase the significance of document references which are based on subject matter relevance and decrease the significance of document references which are based on interpersonal relationships or other meritless factors. Using the weighted graphical model, the central controller is able to automatically identify document clusters having similar subject matter, create a probability matrix for each cluster based on the weighted graphical model, and apply a power iteration to each probability matrix to yield a reference-based ranking of the electronic documents within each cluster.

Abstract: Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for biological production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a biological production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the biological production process in response to the instruction set access request and recording the transaction on the distributed ledger.

Abstract: Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for semiconductor fabrication processes are described. A method may include accessing a distributed ledger including an instruction set for a semiconductor fabrication process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the semiconductor fabrication process in response to the instruction set access request, and recording the transaction on the distributed ledger.

Abstract: A system for biologically determined artificial intelligence selection guidance includes a computing device designed and configured to receive at least a biological extraction and an item descriptor from a user, generate, using a classification algorithm and a plurality of past extractions, a user classifier matching user data to user sets, identify, using the classifier and the element user data, a user set identifier matching the user, produce a selection guidance using the user set identifier and the item category identifier, and provide the selection guidance to the user.

Abstract: A content management system categorizes electronic documents stored in a document storage database. The electronic documents include metadata. The content management system includes a categorization rules database of categorization rules. A recurrent categorization engine takes the rules and applies them to the electronic documents to generate a plurality of category groupings. Each category grouping includes groups based on the applicable rule used to create the grouping. The electronic documents are grouped between the groups. The most balanced dataset of groups is selected to generate a user prompt for further categorization of the electronic documents.

Abstract: Various methods and systems for processing web crawling queries using a web crawling prioritization model based on classification operation performance. A classification operation for organizing products in a product listing platform is accessed. A web crawling engine is accessed for the classification operation. The web crawling engine operates based on a web crawling query prioritization model that supports determining web crawling priority scores that indicate a predicted performance improvement for classification operations executed with known data and web crawled data to be retrieved from executing a web crawling query operation. Using the web crawling prioritization model, a web crawling priority score is determined for a web crawling query for the corresponding classification operation. The classification operation is associated with a product in a product listing platform and known data for the product.

Abstract: An information processing apparatus includes a memory storing, in an associated form, attribute information assigned to a document and information that indicates whether the attribute information is first attribute information that a user is not enabled to assign or second attribute information that the user is enabled to assign and one or multiple processors configured to perform first search on the attribute information on the document using the first attribute information in a search formula and second search on the attribute information on the document using the second attribute information in the search formula.

Abstract: Embodiments are directed to representing documents using document keys. Documents that include one or more clauses may be provided. Each clause type for the one or more clauses in documents may be determined based on one or more classification models. One or more clause identifiers may be associated with the one or more clauses based on one or more clause types of each clause. A document key may be generated for each document based on an ordered collection of the one or more clauses included in each document such that each clause identifier may be positioned in the document key based on an order of its location in a corresponding clause of a document. The documents may be analyzed based on evaluations of one or more document keys corresponding to the documents. One or more reports may be generated based on one or more results of the analysis.

Abstract: A data structure is used to configure and transform a computer machine learning system. The data structure has one or more records where each record is a (vector) representation of a selected object in a corpus. One or more non-zero parameters in the records define the selected object and the number of the non-zero parameters define a word length of the record. One or more zero-value parameters are in one or more of the records. The word length of the object representation varies, e.g. can increase, as necessary to accurately represent the object within one or more contexts provided during training of a neural network used to create the database, e.g. as more and more contexts are introduced during the training. A minimum number of non-zero parameters are needed and zero-value parameters can be clustered together and compressed to save large amounts of system storage and shorten execution times.