Abstract: Techniques for obtaining electronic signatures via word processing applications are described. One approach utilizes a code module, also referred to as a “markup module,” that executes within a word processing application and that facilitates the preparation of a document for electronic signature. A user can operate the word processing application together with the markup module in order to add signature tag markers to the document and to provide recipient information about intended signers, such as names and email addresses. Once the document has been prepared, the code module transmits the document (including the added signature tag markers) and the recipient information to a digital transaction service. The digital transaction service then manages the signing of the document, such as by notifying the recipient, receiving the recipient's signature and securely storing the signature in association with the document.

Abstract: A system, method and computer program product for guiding hand-drawing of diagrams including text and non-text elements on a computing device are provided. The computing device has a processor and a non-transitory computer readable medium for detecting and recognizing hand-drawing diagram element input under control of the processor. Display is performed, on an interactive display of the computing device, of a guide element associated with at least one diagram element of displayed handwriting diagram input. The guide element is configured with a depiction of the at least one diagram element in recognized form.

Abstract: Embodiments described herein provide a mechanism that encodes a text document into a geometric graph, where the nodes of the graph represent bits of text from the document and the edges of the graph represent relationships among the bits of text as laid out on a page of the document. Each node of the graph is encoded into a vector representation that contains information of the node and the local sub-graph (including the node and all edges branching out from the node). In this way, the vector representations of the document contain information of the inner-relationship between words, sentences and paragraphs of the document, instead of just mapping the text in the document as a string of input tokens to a vector representation.

Abstract: An agricultural combine having at least one loss sensor associated with a threshing and separating system, a processing device, and a user interface. The processor is configured to collect geographical position readings, operating parameter settings, and loss data readings. The operating parameter settings and loss data readings are associated with the position readings. The processor generates a display at the user interface illustrating a geographical map including at least a portion of the plurality of position readings. The geographical map graphically indicates each loss data reading associated with each position reading illustrated on the geographical map at that position reading's respective location on the geographical map. A system and method for evaluating the performance of an agricultural combine are also provided.

Abstract: An electronic publication (e.g., an electronic document, e-book, e-pub, etc.) is created and edited using content provided by at least one source. In some aspects, a server-based (e.g., web-based) environment enables multiple authors to seamlessly corroborate to create an electronic publication. In some aspects, a server-based environment enables content to be automatically or manually in a non-linear manner (e.g., designing pages while writing content, and vice versa, or one before the other) become incorporated into an electronic digitally interactive book and print-ready publication (e.g. books, novels, yearbooks, textbooks, comic books, etc.). In some aspects, a server-based environment provides new and innovative ways to incorporate subscriptions and advertisements into an electronic publication, and to display these advertisements in the electronic publication.

Abstract: Disclosed are systems, methods, and computer readable media for natural language processing and text analytics of audit documentation for prioritization and selection. Text extraction and conversion techniques can analyze documents corresponding to an audit request to generate a dataset. A two-layer model can produce word embeddings to reconstruct linguistic contexts of words in the dataset. An embedding layer can map each word, and a classifier layer can generate a similarity score for each word. A three-layer model can determine weights of documents in the dataset. A ranking layer can obtain a document rank value for each document. An initial layer and successive layers can receive feature vectors and document rank values to assign weights to the documents. Based on the document weights and the audit request, the natural language processing and text analytics can determine an audit likelihood for each document to prioritize and select subsets of the documents.

Abstract: A controller generating a knowledge graph of entries, each entry comprising a separate entity identifier and a separate entity mention identifier within a separate document of a corpus of documents with a located relationship and one or more computed prefix-based geotemporal values determined from geotemporal information associated with the separate entity mention identifier within the separate document. The controller, in response to receiving an input comprising a particular entity and a threshold value, mapping the threshold value to a geospatial hash prefix type and a temporal hash prefix type. The controller applying geospatial hash prefix type and the temporal hash prefix type to the entries in the knowledge graph to determine a response to the input indicating one or more geotemporal proximate entities identified within a degree of geotemporal proximity to the particular entity set by the threshold value.

Abstract: Methods, systems, and computer programs are presented for tools for fire monitoring. One method includes an operation for receiving, by a fire forecasting program, fire-related inputs including vegetation data, topography data, weather data, and fire-monitoring information. The fire-monitoring information includes the shape of fire burning in a region. Additionally, the method includes an operation for generating a fire forecast for the region based on the fire-related inputs. The fire forecast describes a state of the fire in the region at multiple times in the future, the state of the fire comprising a fire perimeter, a fire line intensity, and a flame height. Additionally, the method includes operations for receiving updated fire-monitoring information regarding a current state of the fire in the region, for modifying the fire forecast based on the updated fire-monitoring information, and for causing presentation of the fire forecast in a user interface.

Abstract: A system (100) for context aware medical recommendations includes a recommendation engine (138) and a user interface (122). The recommendation engine (138) identifies at least one suggested recommendation (140) according to a medical guideline and context in response to a first input indicating a finding (150) in a medical image (112) of a patient. The user interface (122) displays on a display device (120) the at least one suggested recommendation selectable as a second input.

Abstract: A method, computer system, and a computer program product for generating a custom corpus is provided. The present invention may include generating a domain graph. The present invention may also include gathering seed data based on the generated domain graph. The present invention may then include identifying domain related data based on the gathered seed data. The present invention may further include querying the domain related data. The present invention may also include creating word embeddings for the domain related data. The present invention may then include evaluating the domain related data.

Abstract: A method may include obtaining a document and using a first prediction model to generate text block scores for text blocks in the document, where a first text block of the text blocks is associated with a first text block score of the plurality of text block scores. The method also includes updating, in response to the first text block score for the first text block failing to satisfy a criterion, a modified version of the document with an indicator to set the first text block as a hidden text block in a presentation of the modified version. The method also includes generating a summarization of the first text block based on the words in the first text block and updating the modified version of the document to include the summarization. The method also includes providing the modified version of the document to a user device.

Abstract: Techniques for computer-generated conversation are disclosed. In an example, a method identifies text postings from a conversation. The method creates, for each text fragment of each text posting, a syntactic tree and a discourse tree. The method creates parse thickets, each parse thicket including the syntactic tree and discourse tree of a unique pair of text postings. The method extracts, from each parse thicket, a common text segment and obtains a set of candidate search results by providing the common text segments to a search engine. The candidate search results can be further refined for relevancy and mental state and posted as a response to a conversation.

Abstract: An apparatus includes at least one processing device configured to receive, from a user, a request to execute a web application. The web application utilizes a plurality of web application portions configured for loading into the web application independent of one another. The at least one processing device is also configured to send, to one or more web application servers, a query for metadata associated with the plurality of web application portions, and to receive, from the web application servers, metadata for a subset of the plurality of web application portions. The subset is determined based at least in part on access rights associated with the user. The at least one processing device is further configured to load instances of one or more of the subset of web application portions at specified locations in pages of the web application based at least in part on the received metadata.

Abstract: A client device executes a display layout application that receives a size of each display item included in a set of display items. The set of display items is associated with a first frame included in a bounding box associated with a display screen. The display layout application determines a reference size based on the sizes of the set of display items. The display layout application determines a size of the first frame based on the reference size. The display layout application determines a position for a first display item included in the set of display items based on a position of the first frame within the bounding box. The display layout application generates a layout for display on the display screen, where the layout includes the first display item.

Abstract: Briefly, embodiments of a system, method, and article for receiving a document from a remote device and identifying items in the document. Various operations may be performed based on one or more dependencies of the identified items. For example, additional items may be identified in the document. One or more of the identified items may be parsed. A correspondence between the identified items and a second set of items may be determined. The identified items may be validated based on a set of rules. One or more of the identified items may be transmitted to the remote device in response to the performance of the various operations.

Abstract: In response to running at least one testing phrase on a previously trained text classifier and identifying a separate predicted classification label based on a score calculated for each respective at least one testing phrase, a text classifier decomposes extracted features summed in the score into word-level scores for each word in the at least one testing phrase. The text classifier assigns a separate heatmap value to each of the word-level scores, each respective separate heatmap value reflecting a weight of each word-level score. The text classifier outputs the separate predicted classification label and each separate heatmap value reflecting the weight of each word-level score for defining a heatmap identifying the contribution of each word in the at least one testing phrase to the separate predicted classification label for facilitating client evaluation of text classification anomalies.

Abstract: A method, computer program product, and computer system for encoding, by a computing device, a transcript and text macros into vector representations. A word by word report may be predicted based upon, at least in part, the encoding. An attention mechanism may be queried based upon, at least in part, a decoder state. An attention distribution may be produced over an encoder output. An interpolation of the encoder output may be produced based upon, at least in part, the attention distribution. The interpolation of the encoder output may be input into a decoder for report modeling that includes text macro location and content.

Abstract: A controller, responsive to detecting geospatial and temporal information associated with a mention of an entity in a document, for converting the geospatial information into a specified geospatial format and the temporal information into a specified temporal format. The controller for computing prefix-based geospatial values for the converted geospatial information and prefix-based temporal values for the converted temporal information. The controller for encoding an entry in a knowledge graph for the mention of the entity from the document with the prefix-based geospatial values and the prefix-based temporal values, wherein each digit of the prefix-based geospatial values and the prefix-based temporal values in the knowledge graph that matches another one or more prefix-based geospatial values and another one or more prefix-based temporal values in another entry for another entity mention in the knowledge graph reflects a degree of granularity of geotemporal proximity of the entity and the another entity.

Abstract: Based on a double-ten law of an Internet information organization structure, the present invention provides a method for automatically summarizing web page and text information, where matching information elements by category is added to an existing method, and content keywords and related contexts of summary (or abstract) information are directly extracted by using various successfully matched information element organization structure words. On this basis, the present invention further provides a method for supplementing summary information elements based on title information, and a method for superposing title information element organization structure words. Therefore, a new method for automatically summarizing web page and text information is comprehensively and systematically provided, and automatic summarization quality of the web page and text information can be greatly improved.

Abstract: An apparatus, computer-readable medium, and computer-implemented method for transforming a hierarchical document object model (DOM) to filter non-rendered elements, including parsing elements in a hierarchical DOM to identify one or more tags, any properties, and any values of the elements, removing invisible elements determined based on properties of each invisible element, each invisible element comprising an element of the DOM that is hidden from a user when the DOM is rendered, removing empty elements based on the tags of each element, each empty element comprising a tag without any associated values, identifying remaining elements of the hierarchical DOM that have parent elements that have been removed from the hierarchical DOM, and re-parenting the remaining elements to new parent elements remaining in the hierarchical DOM based on traversing the hierarchical DOM from each of the remaining elements.