Abstract: An information processing device includes a processor configured to acquire a document image illustrating a document, acquire a related character string associated with a target character string included in the document image, and extract target information corresponding to the target character string from a region set with reference to a position of the related character string in the document image.

Abstract: This application relates to systems and methods for providing search results based on a primary intent. In some examples, a disclosed system includes a memory resource storing instructions; and one or more processors coupled to the memory resource. The one or more processors are configured to execute the instructions to: receive, from a user, a search query including a plurality of words, identify a plurality of intention terms from the words of the search query, compute, for each of the plurality of intention terms, a compatibility score between the intention term and a query context associated with the intention term, determine, from the plurality of intention terms, a primary intention term having a maximum compatibility score among the plurality of intention terms, and generate, based on the primary intention term, a set of intent-based search results in response to the search query, the set of intent-based search results identifying a set of items associated with the primary intention term.

Abstract: Methods, systems, and media for presenting news items corresponding to media content are provided. In some implementations, the method comprises: determining a channel that is providing a television program; determining whether news content corresponding to the channel exists, wherein the determining further comprises: obtaining news documents, determining keywords associated with the news documents based on frequency, receiving captioning content corresponding to the channel, determining whether at least one of the keywords associated with the news documents is included in the captioning content, selecting a news document in response to determining that keywords associated with the news document are included in the captioning content, and obtaining one or more news items that correspond to the news document; and causing the one or more news items relating to the television program to be presented.

Abstract: A query scheme is presented in which a query filter data structure is created and utilized to determine whether to obtain live query data from a storage server or aged data within an associated dataset. The number of queries to the storage server may be reduced and overall efficiency of the query system is increased. Another query scheme is presented to adjust the frequency of a dataset refresh based upon a user defined data age parameter indication that is contained a subsequent query and/or based upon whether a frequency of storage server queries is above a predetermined threshold. The propensity of obtaining query results from a dataset is increased while the propensity of queries to the storage server decreases, thereby increasing query system efficiency.

Abstract: Certain aspects of the present disclosure provide techniques for providing sentiment analysis of content. In order to determine the overall sentiment of content, a request is received by a sentiment analyzer, which then identifies a content identification number and retrieves comments associated with the content identification number. The sentiment analyzer pre-processes the comments, which includes removing all personal identifying information from the comments. The sentiment analyzer sends the pre-processed comments to a natural language processing service, and in turn, receives sentiment indications corresponding to the comments provided. Based on the sentiment scores, the sentiment analyzer generates a sentiment analysis and displays the sentiment analysis in the graphical user interface generated by the sentiment analyzer.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A computer adjusts digital content to match a user language proficiency level. The computer receives digital content including words and monitors word consumption activity of a user. The computer identifies troublesome words associated with content consumption delays and establishing a user language proficiency level based on a difficulty value associated with said troublesome words. The computer identifies content words having difficulty level above the language proficiency level. The computer identifies from a word corpus, exchange candidate words having a difficulty level equal to or below said language proficiency level. The computer generates using a natural language processing (NLP) algorithm, word embeddings for said target words and said exchange candidate words. The computer selects from the exchange candidate words, replacement words having word embeddings substantially the same as the word embeddings of said target words.

Abstract: Automatic keyphrase labeling and machine learning training may include a processor extracting a plurality of keywords from at least one search query that resulted in a selection of a document appearing in a search result. For each of the plurality of keywords, the processor may determine a probability that the keyword describes the document. The processor may generate one or more keyphrases by performing processing including selecting each of the plurality of keywords having a probability greater than a predetermined threshold value for insertion into at least one of the one or more keyphrases and assembling the one or more keyphrases from the selected plurality of keywords. The processor may label the document with the keyphrase.

Abstract: A method for extracting a dam emergency event based on a dual attention mechanism is provided. The method includes: performing data preprocessing, building a dependency graph, building a dual attention network, and filling a document-level argument. The performing data preprocessing includes labeling a dam emergency corpus and encoding sentences. Building a dependency graph includes assisting a model to mine a syntactic relation based on a dependency. Building a dual attention network includes weighing and fusing an attention network based on a graph transformer network (GTN) and capturing key semantic information in the sentence. Filling a document-level argument includes filling a document-level argument by detecting a key sentence and ordering a semantic similarity. The method introduces a dependency and overcomes the long-range dependency problem based on the dual attention mechanism, thus achieving high identification accuracy and reducing a lot of labor costs.

Abstract: Techniques for displaying a stage-specific pipeline view with a prediction engine are disclosed. A system displays a plurality of regions representing various stages of completion for a plurality of transactions. The system determines a stage of completion for each of the plurality of transactions at a first point-in-time, and generates and displays visualizations representing each of the plurality of transactions in one of the plurality of regions based on the respective current stage of completion. Generating a visualization representing a first transaction includes determining a likelihood of the first transaction completing a stage associated with the first transaction. The likelihood may be determined by selecting attributes associated with the first transaction and identifying prior transactions with similar attributes.

Abstract: Plugins that are independently written are executed in a collaborative manner to analysis a log. A plugin executing with respect to a particular node of a hierarchical data structure determines values for a set of keys based on information of the particular node and/or any ancestor nodes, and information stored in a shared repository. The plugin stores the values for the keys as additional information of the particular hierarchical node and/or into the shared repository. The plugin does not access information of non-ancestor nodes when executing with respect to the particular hierarchical node. Each plugin writes into and retrieves from the shared repository using the shared naming convention, thereby sharing information. The sequence of execution of the plugins is not dependent on dependencies amongst the plugins. If a dependent plugin requiring an output from a requisite plugin is first executed, the dependent plugin is flagged as pending and subsequently re-executed.

Abstract: In some implementations, a device may train the model to generate embeddings for log files associated with an application, and to enable the model to generate embeddings for sensitive information included in a set of training log files. The device may receive a log file associated with the application. The device may generate a compressed log file including a set of embedding vectors associated with records included in the log file, where a record that includes sensitive information is associated with one or more embedding vectors for the sensitive information and one or more embedding vectors for other information included in the record. The device may store the compressed log file including the set of embedding vectors where a size of the compressed file is less than a size of the log file, and the embedding vectors obfuscate the records included in the log file.

Abstract: Methods and systems for generating a training set for training a MLA is disclosed. The method comprises: retrieving a plurality of SERPs, generating a graph mapping the plurality of documents and the plurality of queries, such that: a given node of the graph includes a given search query of the plurality of search queries; the given node is connected to a first subset of nodes, each one of the first subset of nodes having a document of the plurality of documents; a specific node of the first subset of nodes being connected to a second subset of nodes; receiving an indication of a search query to generate a negative training example for; identifying a node in the graph associated with the search query; generating the training set including the search query paired with a given document located in another node located by a pre-determined number of nodes away.

Abstract: A computer is to obtain specification concept graphs of nodes spec1, spec2, . . . , specm including concept nodes and relation nodes according to at least one of a plurality of digitized data from a plurality of computerized data sources forming a first set of evidences U and obtain concept graphs of nodes c?1, c?2, . . . , c?n including concept nodes and relation nodes for corresponding obtained plurality of information and knowledge (IKs) ?1, ?2, . . . , ?n forming a second set of evidences U. A subset of concept graphs of nodes is selected from c?1, c?2, . . . , c?n according to a computable measure of consistency, inconsistency and/or priority threshold between c?j in c?1, c?2, . . . , c?n to specification concept graph speck in spec1, spec2, . . . , specm. Knowledge fragments are generated for corresponding subset of concept graphs c?i1, c?i2, . . .

Abstract: Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.

Abstract: Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.

Abstract: A method for identifying respective networked devices in a social communications network, which networked devices communicate messages relevant to an article. The messages may include posts, shares, likes, votes, ranks, and other comments. A server of the social communications network maintains a respective identity (e.g., user name or handle) for each connected networked device, respectively, of the social communications network. The server includes an API for requests.

Abstract: A method and system for recommending online content based upon the predictive value of reviews provided by third party reviewers correlated to the identity of those reviewers. The correlated data is used to predict how a target user would rate an unrated item, and to make recommendations to the target user.

Abstract: A computer system comprising a processor, graphical output means and a computer readable storage medium storing instructions that when executed by the processor cause the processor to perform a method for quantifying and aggregating the relevance of documents.

Abstract: To detect information relating to the threat appropriately, based on an appearance tendency of information related to a threat in security. Information analysis system includes: an information storing unit that stores reference information acquired from an information source; and an information analysis unit that analyzes an appearance tendency of first phrase information that is included in the reference information acquired at chronologically different timings and that represents a phrase related to security and extracts reference information including the first phrase information the appearance tendency of which has changed from the information storing unit.

Abstract: Methods and systems provide information products relating to past, present and future advertising transactions (i.e., contracts to place advertisements in various media) to enable a marketplace in advertising products. Information regarding a plurality of advertising transactions are gathered. Data is analyzed to determine its attributes. Some attribute values are transformed and the attribute values are stored in a database. Attributes are organized or indexed according to a taxonomy of attributes to provide indexes to advertising transaction records. Indexes and benchmarks for various selected types of advertising transactions can be generated by selecting certain records from the database and aggregating the data or otherwise synthesizing information products, such as benchmarks and market entities for the selected types of advertising transactions. Information products may be published and syndicated as market indexes and benchmarks.

Abstract: Mechanisms are provided for implementing a virtual corpus engine that receives an inquiry to be processed and analyzes the inquiry to extract one or more features of the inquiry. The virtual corpus engine selects a weight matrix associated with a virtual corpus based on the extracted one or more features of the inquiry. The virtual corpus comprises a plurality of actual corpora of information. The weight matrix comprises a separate weight value for each actual corpus in the plurality of actual corpora. The virtual corpus engine processes the inquiry using a set of selected actual corpora selected from the plurality of actual corpora based on the weight values in the weight matrix and receives results of the processing of the inquiry using the set of selected actual corpora. The virtual corpus engine outputs the results of the processing of the inquiry.

Abstract: Among pieces of attribute information contained in a document, user-designated attribute information and other attribute information that may give additional value to the user-designated attribute information are accurately and efficiently presented.

Abstract: A system for improving an emotional mindset of a person, the system includes a server to receive and process data; a computing device in data communication with the server; one or more software rules implemented through the server and computing device; a platform implemented through the computing device, the platform to perform the steps of: receive a user identified need; a meditation packet created by the computing device, server, and one or more software rules, the meditation packet having resources complied based on the user identified need, the meditation packet to aid the user with the user identified need; the meditation packet is provided to the user through the platform.

Abstract: Disclosed is a method for recommending a video by a video recommendation system, comprising: collecting and storing in a database of the video recommendation system videos related to products being sold and video information of the videos; converting voice included in each of the videos to text; obtaining words from the converted text and a time stamp for each of the words; extracting noun keywords in the text and identifying frequencies of the noun keywords, by analyzing morphemes of the text; performing a sentiment analysis on sentences composed of the words in the text; receiving a selection of one of the products; identifying videos associated with the selected product from among the videos stored in the database based on the noun keywords and the frequencies of the noun keywords; providing videos according to a predetermined criterion among the identified videos, based on a result of the sentiment analysis; and if one of the provided videos is selected, providing a partial video in a time section associa

Abstract: Disclosed is a method for suggesting revisions to a document-under-analysis (“DUA”) from a seed database, the seed database including a plurality of original texts each respectively associated with one of a plurality of final texts. The method includes tokenizing the DUA into a plurality of statements-under-analysis (“SUAs”), selecting a first SUA of the plurality of SUAs, generating a first similarity score for each of the plurality of the original texts, the similarity score representing a degree of similarity between the first SUA and each of the original texts, selecting a first candidate original text of the plurality of the original texts, and creating an edited SUA (“ESUA”) by modifying a copy of the first SUA consistent with a first candidate final text associated with the first candidate original text.

Abstract: Disclosed are a labeling method and apparatus for named entity recognition of a legal instrument. The method includes steps: step S1: acquiring a legal text, and transforming the legal text into an index table; step S2: outputting a sentence feature encoding result; step S3: performing training and prediction; step S4: obtaining a set; step S5: obtaining a multi-head score transfer matrix; step S6: obtaining a score transfer matrix corresponding to the legal text; step S7: determining a recognized nested entity; and S8: constructing an entity labeling template by using the recognized nested entity. According to the present disclosure, a user tries to complete recognition of nested entity labeling by changing an input of the BERT model, and a multi-head selection matrix labeling thought of the present disclosure is used to relieve the difficulty in recognizing a long text and a nested entity in an NER task to a larger extent.

Abstract: Improved technological solutions are introduced for providing a secure and effective and enhanced clustering/grouping solution that is useful, for example, in an online dating forum as well as any number of other industries. The ability to attend live events in person or remotely is coupled with presence location and automatic verification of user devices and identities. This allows secured communication between participants without having to disclose actual contact information of the participants or their device addresses. An improved algorithm that groups members/items effectively based on a variety of matching criteria, with lowered possibilities of errors and more efficient use of processing power, is now introduced.

Abstract: Tailoring textual content to a target audience by receiving an input of a user, wherein the input of the user includes textual data, identifying a target audience of the textual data based at least in part on the input of the user, determining a style of the target audience, wherein the style is a variety of language used by the target audience, generating a modification recommendation to the textual data of the input of the user based at least in part on the textual data and the determined style.

Abstract: An inventory control system comprises an object storage device, a display device, and one or more processors. The object storage device includes a plurality of compartments, in which each compartment has a plurality of storage locations for storing objects. The display device is configured to display information about the object storage device. The one or more processors are configured to establish a description database of objects configured for storage in the inventory control system. The one or more processors retrieve object keywords corresponding to objects stored in the plurality of storage locations of one of the plurality of compartments. The one or more processors also generate a text block based on the retrieved object keywords. On the display device, the one or more processors display a representation of the plurality of compartments of the object storage device with the text block applied to the one of the plurality of compartments.

Abstract: Aspects of the disclosure relate to identifying legitimate websites and removing false positives from domain discovery analysis. Based on a list of known legitimate domains, a computing platform may generate a baseline dataset of feature vectors corresponding to the known legitimate domains. Subsequently, the computing platform may receive information identifying a first domain for analysis and may execute one or more machine learning algorithms to compare the first domain to the baseline dataset. Based on execution of the one or more machine learning algorithms, the computing platform may generate first domain classification information indicating that the first domain is a legitimate domain. In response to determining that the first domain is a legitimate domain, the computing platform may send one or more commands directing a domain identification system to remove the first domain from a list of indeterminate domains maintained by the domain identification system.

Abstract: The present disclosure provides a pre-training method for a sentiment analysis model and an electronic device, which relates to a field of artificial intelligence technologies. The method includes: based on a given seed sentiment dictionary, performing sentimental knowledge detection on a training corpus in a training corpus set, and determining a detection sentiment word and a detection word pair of the training corpus; according to preset mask processing rules, performing mask process on the training corpus to generate a masked corpus; performing encoding and decoding on the masked corpus by using a preset encoder and decoder to determine the detection sentiment word and the detection word pair of the training corpus; and updating the preset encoder and decoder according to a difference between prediction sentiment word and the detection sentiment word, and a difference between prediction word pair and the detection word pair.

Abstract: Disclosed are methods, circuits, devices, systems and functionally associated computer executable code for digital catalog augmentation. A digital catalog interface module reads from a digital catalog data storage, directly or indirectly, one or more catalog data records constituting an offer listing within a digital catalog, wherein the offer listing may include a description of a specific product or service offering and/or links to execute a transaction relating to the offering. The system includes a Review Criteria and Sentiment Extractor (RCSE) to identify and convert one or more reviews posted on a review forum into one or more data records used to augment the offer listing within the digital catalog.

Abstract: The present disclosure generally relates to managing the use of transfer accounts using an electronic device. In accordance with some embodiments, user interfaces for inputting information about a secure credential to an electronic device are described. In accordance with some embodiments, user interfaces for managing the use of a credential provisioned on an electronic device that operates on stored power are described. In accordance with some embodiments, user interfaces for managing the use of a transfer account associated with different credentials on an electronic device are described.

Abstract: One or more non-transitory computer-readable storage media are presented. In embodiments, the one or media may comprise a plurality of instructions that in response to being executed cause a computer to: receive, via a user interface, a user selection including a product, and a brand, vendor and category associated with the product; access a set of product information that includes information regarding the selected product, the set of product information including a set of products, and for each product in the set: a price, one or more brands under which the product is sold, a set of vendors offering it for sale, a categorization schema and a set of analysis results; and display to the user, via the user interface, a first analysis result from the set of analysis results for the selected product.

Abstract: An information processing apparatus includes a lexical analysis unit that generates a training word string, a pair generation unit that generates a plurality of training word pairs, a matrix generation unit that generates, for each training word pair, a training matrix in which a plurality of words and respective semantic vectors of the words are associated, a classification unit that calculates, for a word of each position of the training word string, a probability of the word corresponding to a specific word, using the training matrices generated by the matrix generation unit and a determination model that uses a convolutional neural network, and an optimization processing unit that updates parameters of the determination model, such that the probability of the word labeled as corresponding to the specific word is high, among the probabilities of the words of the respective positions of the training word string calculated by the classification unit.

Abstract: A system and method for extrapolating a set of specific representational identifiers that are represented or covered by a generic representational identifier found in a target document. Queries are constructed and performed on a corpus of source documents in which members of the extrapolated set of specific representational identifiers are compared to a database of representational data. By matching representational data in this way, any overlap between the generic representational data and specific instances of the generic representational identifier within the source documents is determined. In a more specific implementation, the system and method reduces the scope of the generic representational identifier such that the reduced scope generic representational identifier encompasses only novel specific representational identifiers.

Abstract: Embodiments are directed to managing data correlation over a network. Student information may be provided. Position information based on potential employers may be provided. Student profiles may be generated based on translation models and the student information. The student information may be translated into unified facts included in the student profiles. Position profiles may be generated based on the translation models and the position information. The position information may be translated into other unified facts in the position profiles. The student profiles may be correlated with the position profiles based on recommendation models, the unified facts, and the other unified facts. Each student profile and position profile pair may be associated with a score based on a strength of the correlation. Reports may be provided that include each pair of the student profile. A plurality of pairs may be ordered based on the score associated with each pair.

Abstract: Techniques are provided for using machine learning techniques to analyze textual content. In one technique, a potential item is identified within a document. An analysis of the potential item is performed at multiple levels of granularity that includes two or more of a sentence level, a segment level, or a document level. The analysis produces multiple outputs, one for each level of granularity in the multiple levels of granularity. The outputs are input into a machine-learned model to generate a score for the potential item. Based on the score, the potential item is presented on a computing device. In response to user selection of the potential item, an association between the potential item and the document is created. The association may be used later to identify a set of users to which the document (or data thereof) is to be presented.

Abstract: A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Abstract: A system can provide a web browser application that generates a request for a data object to a server. The system can include a syncer delegate that intercepts the request from the web browser application and determines whether the requested data object is available in a cache memory. If the data object is available in the cache memory, the requested data object is transferred from the memory to the web browser application and the request is forwarded to a server over a network. If the data object is not available in the cache memory, the request is forwarded to a server over a network. The server can transfer the data object over the network to the syncer delegate, which can provide the data object to the web browser application and update the cache with the newly-received data object.

Abstract: An article of manufacture has non-transitory computer readable storage medium comprising computer readable program code executable by a processor in a mobile device to implement a method, where, when the mobile device is at a business location, a user of the mobile device is authenticated non-invasively (e.g., utilizing the camera of the mobile device, using facial recognition, utilizing the camera of the mobile device and authenticating via facial recognition, etc.). Upon successful authentication, a scanning code is displayed over a lock screen wallpaper of the mobile device, where power is conserved in the mobile device by providing the scanning code without having to unlock the mobile device.

Abstract: The present disclosure provides a method, and an apparatus for detecting a regional event based on a search engine, a search engine, a computer device, and a storage medium. The method includes: obtaining key search data related to the regional event based on search data of the search engine; performing regional event detection based on the key search data related to the regional event; and when the regional event is detected, estimating a location of the detected regional event based on geographical distribution of the key search data related to the regional event.

Abstract: An item query can be received on a website that manages a diverse set of items. If the query is associated with a custom taxonomy, the custom taxonomy for the item (or item class) is used to create a user interface with navigational elements generated from the custom taxonomy. The custom taxonomy can be generated from a third-party site that is associated with the item (e.g., a manufacturer). The generated user interface allows users to more readily navigate items from the item class.

Abstract: An embodiment of the present disclosure a system and method for extracting items of information, such as wine from a wine list of a commercial establishment.

Abstract: Techniques for performing root cause analysis in dynamic software testing via probabilistic modeling are provided. In one example, a computer-implemented method includes initializing, by a system operatively coupled to a processor, a threshold value, a defined probability value, and a counter value. The computer-implemented method also includes, in response to determining, by the system, that a probability value assigned to a candidate payload of one or more candidate payloads exceeds the defined probability value, and in response to determining, by the system, that the counter value exceeds the threshold value: determining, by the system, that a match exists between the candidate payload and an input point based on an application of the candidate payload to the input point resulting in a defined condition, wherein the one or more candidate payloads are represented by population data accessed by the system.

Abstract: A system and method for detecting interactive network of automated accounts, the interactive network of automated accounts comprising a plurality of automated accounts posting to a social media channel, the system comprising: an ingestion engine operated by a computational device for connecting to the social media channel and receiving a plurality of social media postings from a plurality of posting entities; a bot model operated by a computational device for determining whether at least one posting entity is a suspected bot; and a computer network for communication between said computational devices.

Abstract: Systems and methods are provided for determining the efficacy of digital assets provided to an audience. One embodiment is a system that includes a brand management server. The brand management server includes a memory that stores assets comprising digital media. The brand management server also includes a controller. The controller distributes the assets for consumption by members of an audience at remote devices. The controller also selects one of the assets, determines a look-back period, acquires metrics indicating at least two different types of consumption of the asset by the audience during the look-back period, and calculates an asset score for the asset that indicates a popularity of the asset and is based on the metrics indicating the at least two different types of consumption.

Abstract: A method of distributing content to consumers may include providing a server loaded with a computer code having an administrator user interface, a franchisor user interface, a franchisee user interface; a library of content accessible by an administrator, a franchisor, and/or one or more franchisees; and a consumer data bank. The method may further include linking the server with social media platforms, populating the library with a plurality of pieces of content, linking the content with a franchise unit location, and publishing the content to a social media account. A further step may include collecting consumer data and storing the consumer data in the consumer data bank. The franchisor and each franchisee may have access to the library of content and to consumer data.

Abstract: This disclosure describes systems and techniques receiving a request for information from a user and, in response, outputting the requested information along with unsolicited, interesting content that is related to, yet nonresponsive to, the requested information. In some instances, if the requested information is unknown, the techniques may output an indication that the information is unknown, followed by the additional, unsolicited, interesting content.