There is provided a method for processing electronic documents. The method includes: receiving a plurality of electronic documents stored in a file container created based on a file system; retrieving metadata from the file container, the metadata indicating forensic information about the plurality of electronic documents; applying an interactive filtering to the metadata according to user inputs; and selectively extracting one or more electronic documents from the file container according to results of the interactive filtering.

A parent/child model for smart contracts enables the smart contracts to be updateable without compromising the immutability of the underlying data. As a first step, a parent smart contract (Client Contract) is deployed that stores any other contract that may be called using the contract address. Then, whenever a new child smart contract (Service Contract) is deployed, the parent smart contract is updated with the address of the new child smart contract so that the parent smart contract will be able to call the child smart contract. The structure of the child smart contract is known to the parent smart contract. For example, the number of inputs going into the child smart contract and the number of outputs coming out of the child smart contract are known to the parent smart contract before deployment of the parent smart contract, and the transaction data remains accessible without affecting the parent contract.

A method and apparatus for generating an unordered list, a method for managing images and a terminal device are disclosed. The method for generating the unordered list includes: randomly acquiring a first element from an ordered list and inserting the first element into the unordered list; cycling the execution of the following steps in a case where a number of current elements in the unordered list is smaller than a sum of elements in the ordered list: determining whether a position at which the first element is located is an edge position in the ordered list and randomly acquiring a second element from the ordered list based on a determining result, and randomly acquiring a target position from the unordered list and inserting the second element into the target position in the unordered list; and ending the cyclic execution in a case where the number of the elements in the unordered list is equal to the sum of the elements in the ordered list.

A computer-implemented method for performing cross-document coreference for a corpus of input documents includes determining mentions by parsing the input documents. Each mention includes a first vector for spelling data and a second vector for context data. A hierarchical tree data structure is created by generating several leaf nodes corresponding to respective mentions. Further, for each node, a similarity score is computed based on the first and second vectors of each node. The hierarchical tree is populated iteratively until a root node is created. Each iteration includes merging two nodes that have the highest similarity scores and creating an entity node instead at a hierarchical level that is above the two nodes being merged. Further, each iteration includes computing the similarity score for the entity node. The nodes with the similarity scores above a predetermined value are entities for which coreference has been performed in input documents.

Systems and methods are disclosed to implement a Boolean query evaluation system that allows clients to specify a latency constraint for evaluating Boolean queries. In embodiments, the system evaluates queries using data from multiple external data sources. If some data sources fail to return data in a timely fashion to satisfy the specified latency constraint, the system will evaluate the query using the data that it was able to obtain and generate a partial answer to the query—a partial true or a partial false. In embodiments, the query response may include a reason for the partial answer, and indicate the list of data sources that failed to provide timely results. In embodiments, the system may publish a table indicating different latency constraints specified for a category of queries and the types of answers returned for those queries. Clients may use the table select latency constraints for future queries.

A media creation system is provided for creating photographs and videos that include assets sourced from different geographic locations. The media creation system may parsing media, transposition the media, and/or perform additional modifications to the media. A method for creating photographs, videos, and live streams of one or more assets sourced from different geographic locations using the audiovisual media composition system is also provided.

Described herein is a mechanism for utilizing a neural network to identify and rank search results. A machine learning model is trained by converting training data comprising query-document entries into query term-document entries. The query term-document entries are utilized to train the machine learning model. A set of query terms are identified. The query terms can be derived from a query history. The trained machine learning model is used to calculate document ranking scores for the query terms and the resultant scores are stored in a pre-calculated term-document index. A query to search the document index is broken down into its constituent terms and an aggregate document ranking score is calculated from a weighted sum of the document ranking scores corresponding to the individual query terms. Because the term-document index can be pre-calculated, it can be downloaded to provide deep learning search capabilities in a computationally limited environment.

Systems and methods for dynamic data processing and graphical user interface generation are provided. A system may include a network interface configured to request and receive, via a computer network from one or more sources in remote locations, electronic record data associated with an individual; an input filter configured to identify structured and unstructured information in the electronic record data; a data selector configured to analyze the structured and unstructured information; a timeline generator configured to generate, based on the analysis, interface information for displaying an interactive graphical user interface configured to present an event timeline of events in the electronic record data; and a display configured to provide the interactive graphical user interface based on the generated interface information.

Systems and methods for dynamic data processing and graphical user interface generation are provided. A system may include a network interface configured to request and receive, via a computer network from one or more sources in remote locations, electronic record data associated with an individual; an input filter configured to identify structured and unstructured information in the electronic record data; a data selector configured to analyze the structured and unstructured information; a timeline generator configured to generate, based on the analysis, interface information for displaying an interactive graphical user interface configured to present an event timeline of events in the electronic record data; and a display configured to provide the interactive graphical user interface based on the generated interface information.

A text generation apparatus includes a memory and a processor configured to, based on learned parameters of neural networks, acquire, as a reference text, a predetermined number of two or more sentences having a relatively high relevance to an input sentence from a set of sentences different from the input sentence and generate text based on the input sentence and the reference text, such that information to be considered when generating text can be added as text.