100 results about "Document representation" patented technology

The present invention facilitates the specification and distribution of templated content materials by a content provider over an information exchange network such as the Internet. The present invention incorporates a system for managing inventories of graphical elements and their relationships to pre-defined page templates. A database capable of keeping track of users and their corresponding access privileges within the system is employed to monitor user activity. Ultimately, through the use of a software component delivered over the Internet for use within standard web browsers, end-users are able to populate templates under the constraints imposed by the rules of the manufacturers at the time of template design. These population elements which “fill in the blanks” of the pre-defined templates may be either of type IMAGE or TEXT. Image regions are populated by choosing from a subset of the entire image inventory, while TEXT types can be completely free form, with specific rules guiding justification, point size, font, and leading, or “fill in the blank” form with the same constraint rules as free form. Once the end user has met all of the criteria for a fully populated template, the system provides sophisticated means for downloading a high resolution file (such as a print-ready file or other file representation of the composed publication) which encapsulates all resources needed (layout, images, fonts, and constraint geometries) to fulfill the requirements of the publication. The downloaded file may be printed or published by electronic transfer, e.g., to a publisher for printing of the actual publication.

An exemplary system includes a browser to browse a web page based on a web page definition having a slicing tree defining an arrangement of rectangular regions in the web page. The web page definition can include parametric data describing adaptability parameters associated with a rectangular region. A rendering module renders an adapted web page based on the web page definition, and a proxy module generates an intermediary adapted web page definition. A method includes rendering the web page according to a slicing tree and block property data in an associated web page definition. The method may include determining a set of unsummarized blocks that maximize information fidelity.

The invention belongs to the technical field of cross-media correlation learning, and particularly discloses a deep cross-mode correlation learning-based image retrieval method for a free-hand sketch.The method comprises three main algorithms of deep multi-mode feature generation, multi-mode correlation learning modeling and similarity sorting optimization. By utilizing a deep learning technology, a depth semantic feature and a depth visual feature are constructed for describing a text tagging part and an image/sketch part in a multi-mode document. Based on a multi-mode document representation, a cross-mode correlation model is built for modeling a whole multi-mode document set, thereby describing correlation among different modes of the multi-mode document. Based on correlation featuresobtained after correlation modeling, retrieval results are sorted and optimized, and color images and texts with the maximum similarity with the queried sketch are returned.

A method and a system allow presentation of web pages to an internet appliance (e.g., a hand-held computer, a mobile telephone, or a digital personal assistant) according to user preferences. The user preferences are captured by a management server, which provides a web page customization service in conjunction with a document manager, which parses the web pages to identify information units. The customized web pages are stored in a database using a standardized hypertext document representation device, such as XML. The customized web pages are accessible from a portal adapted for accessing by the internet appliance. In one implementation, the user is also offered pre-configured resources for frequently used services when accessing the portal using the internet device.

A machine-oriented notation for representation and interchange of extensible documents: a method, system, and computer program product for operating upon (e.g. parsing, and storing documents in) this notation. The notation, referred to herein as “mXML” for “machine-oriented XML”, is designed to be more compact than the Extensible Markup Language (XML), while still conveying the content and semantics of the data and the structure of the document. Documents may be created directly in mXML. In general case, a document represented using mXML notation can be processed more efficiently than when using the existing human-friendly XML notation, requires less storage space, and has a lower transmission cost for data interchange. XML documents can be converted to mXML using techniques of the present invention, and vice versa. Techniques disclosed herein are also applicable to notations other than XML.

Methods and apparatus are described for classifying documents using a document representation model based on implicit user feedback obtained from search engine queries. The model may be used to achieve better results in non-supervised tasks such as clustering and labeling through the incorporation of usage data obtained from the search engine queries.

The invention provides a text classification method based on deep multi-task leaning. The method comprises the steps that by means of a recurrent neural network obtained through other task training and by combining the learning ability of a convolutional neural network, additional document representation is obtained, that is to say, a large amount of external information is introduced, semantic representation of a document is extended, and the problem that training data is insufficient is effectively solved. Accordingly, compared with a traditional multi-task leaning method, the convolutional neural network is used for conducting feature extraction on bottom-layer features of an auxiliary task, the features of other tasks can be utilized for being effectively transferred to the current task, and the performance of text classification is improved.

The life history of a person or entity can be presented in a graphical representation of a highway. Life events may be represented by simple data strings, or by files such as photographs, dissertations, job offers, and love-letters, among others. For ease in viewing, the information representing the life history is categorized according to type (medical, educational, photographic, etc.) and placed in lanes corresponding to the type of information. The information is also organized by date, being placed between mile corresponding to temporal periods, for instance, years. Other graphical arrangements of stored information are also included.

The invention discloses a text document representation method and a device based on depth learning topic information enhancement. The method comprises the following steps: S1, data preprocessing operation is carried out on the corpus document in the form of text. S2, a text sequence layer is designed, and the context information of each word in the word order is embedded into the representation vector of each word in the document. S3, the sequence elements are transitioned to higher-level topic information through the attention layer. S4, in the topic layer, a representation of the current document D in all topic directions is generated. S5, the similarity between all the topic information is limited. S6, the topic representation vector is fused into the semantic representation vector Repof the document D at the presentation layer. 7, that parameters of the Rep are updated by a classify and an objective function, the method can efficiently embed the context semantic information and the potential topic information of a text sequence into a document representation vector, and the presentation vectors enhanced by the topic information can significantly improve the performance of a text mining model use the Rep.

The invention provides an entity question answering method and device based on a neural network and a terminal, wherein the method comprises converting a word contained in a question and a candidate document into a word vector, and generating a corresponding question word vector sequence and a candidate document word vector sequence; inputting the problem word vector sequence and the candidate document word vector sequence into the long-short-term memory network model, and outputting the word coding sequence of the problem and the candidate document; matching the word encoding sequence of theproblem and the word encoding sequence of the candidate document to generate a candidate document representation based on matching information, wherein the candidate document representation comprisesa plurality of word representations; selecting start and end words from all word representations and generating entity answers based on the start and end words. The method reduces explicit computationand cumulative error, effectively utilizes semantic representation between questions and documents, and improves positioning accuracy of entity answers.

The invention discloses a text representation method and device based on a hierarchical neural network. The method comprises: converting each word forming a sentence into a vector; Inputting vectors corresponding to all words in the sentence into a neural network for aggregation, and outputting sentence representation corresponding to the sentence; Inputting all the sentence representations into aneural network to be aggregated, and generating document representations corresponding to all the sentence representations; And converting the document representation into a document classification vector through a full connection network, and obtaining prediction probability distribution of document classification based on the document classification vector. According to the method and a device,A hierarchical mechanism is introduced into a neural network model to solve a document representation problem for text classification; Interoperability of different tasks is better improved, a hierarchical neural system structure is fused into a neural network method, a new neural network model based on layering is caused, accuracy, performance and the like are obviously superior to those of an existing neural network model, and consumption is lower.

A system and method for creating, managing, and displaying an interactive display for 3D digital collectibles comprising a virtual, three dimensional, n-sided structure including a digital media file or set of digital media files representing an event rendered on a representation of a first surface thereof, and data relating to the event rendered on at least a second surface thereof, where the digital media file may be a video clip of the event that can be played automatically via a media player associated with the display. The interactive display may provide a graphical user interface that displays a set of user tools to interact with the 3D digital collectibles and a user interface control module that receives user input via the user tools and generates instructions to control the display of one or more 3D digital collectible display elements.

An extractive news digest generation apparatus based on an attention encoder includes a statement encoder for acquiring a document and dividing the document into a plurality of sentences; a document encoder for acquiring a document representation according to the relationship between the plurality of sentences and the plurality of sentences; a statement extractor for extracting sentences used as summaries from the plurality of sentences and the document representations. The extractive news digest generation apparatus can capture the relationship and dependency between sentences better, so as to extract abstracts accurately and show more abundant information when generating abstracts.