2998 results about "Information extraction" patented technology

A method and a system for information extraction from Web pages formatted with markup languages such as HTML [8]. A method and system for interactively and visually describing information patterns of interest based on visualized sample Web pages [5,6,16-29]. A method and data structure for representing and storing these patterns [1]. A method and system for extracting information corresponding to a set of previously defined patterns from Web pages [2], and a method for transforming the extracted data into XML is described. Each pattern is defined via the (interactive) specification of one or more filters. Two or more filters for the same pattern contribute disjunctively to the pattern definition [3], that is, an actual pattern describes the set of all targets specified by any of its filters. A method and for extracting relevant elements from Web pages by interpreting and executing a previously defined wrapper program of the above form on an input Web page [9-14] and producing as output the extracted elements represented in a suitable data structure. A method and system for automatically translating said output into XML format by exploiting the hierarchical structure of the patterns and by using pattern names as XML tags is described.

A technique for automated analysis of multimedia, such as, for example, a news broadcast. A Broadcast News Editor and Broadcast News Navigator system analyze, select, condense, and then present news summaries. The system enables not only viewing a hierarchical table of contents of the news, but also summaries tailored to individual needs. This is accomplished through story segmentation and proper name extraction which enables the use of common information retrieval methodologies, such as Web browsers. Robust segmentation processing is provided using multistream analysis on imagery, audio, and closed captioned stream cue events.

The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.

A face avatar generating apparatus includes: a face feature information extraction unit for receiving a face photo and extracting face feature information from the face photo and a two-dimensional (2D) avatar generation unit for selecting at least one region from the face photo based on the face feature information, and exaggerating or beautifying the selected region to create a 2D avatar image. The apparatus further includes a 3D avatar generation unit for modifying a standard 3D face model through a comparison with the standard 3D model based on the face feature information and pre-stored standard information to create a 3D avatar image.

A color image sensor sequentially acquires a plurality of fingerprint images when a finger is pressed against the detector surface. A color information extraction unit detects the finger color in synchronization with the input of the plurality of fingerprint images. An areal information extraction unit detects a physical quantity representing the pressure applied by the finger to the color image sensor when the plurality of fingerprint images are acquired, particularly, the quantity related with the area of the finger in contact with the detector surface. A living body identification unit determines whether the finger is a live or dead one by the analysis of correlation between the physical quantity and the finger color. According to this configuration, even if the finger color does not change much, it is possible to distinguish living bodies from dead ones if there is a sufficient correlation with information such as the area of the fingerprint that reflects the finger pressure. The thickness of the fingerprint input unit is approximately 1-2 mm, determined by the sum of the thickness of the planar light source and that of the color image sensor.

A data analysis system with dynamic information extraction and self-organizing evidence construction finds numerous applications in information gathering and analysis, including the extraction of targeted information from voluminous textual resources. One disclosed method involves matching text with a concept map to identify evidence relations, and organizing the evidence relations into one or more evidence structures that represent the ways in which the concept map is instantiated in the evidence relations. The text may be contained in one or more documents in electronic form, and the documents may be indexed on a paragraph level of granularity. The evidence relations may self-organize into the evidence structures, with feedback provided to the user to guide the identification of evidence relations and their self-organization into evidence structures. A method of extracting information from one or more documents in electronic form includes the steps of clustering the document into clustered text; identifying patterns in the clustered text; and matching the patterns with the concept map to identify evidence relations such that the evidence relations self-organize into evidence structures that represent the ways in which the concept map is instantiated in the evidence relations.

This document discusses a system that includes an intermediary telemetry interface device for communicating between a cardiac rhythm management system or other implantable medical device and a programmer or other remote device. One example provides an inductive near-field communication link between the telemetry interface and the implantable medical device, and a radio-frequency (RF) far-field communication link between the telemetry interface device and the remote device. The telemetry interface device provides data buffering. In another example, the telemetry interface device includes a data processing module for compressing and/or decompressing data, or for extracting information from data. Such information extraction may include obtaining heart rate, interval, and/or depolarization morphology information from an electrogram signal received from the implantable medical device.

A method and system for retrieving information in response to an information retrieval request comprises extracting additional information from a first corpus of data elements based on the request. The request is modified based on the additional information to refine the scope of information to be retrieved from a second corpus of data elements. The information is retrieved from the second corpus of data elements based on the modified request.

A method and system for automated knowledge extraction and organization, which uses information retrieval services to identify text documents related to a specific topic, to identify and extract trends and patterns from the identified documents, and to transform those trends and patterns into an understandable, useful and organized information resource. An information extraction engine extracts concepts and associated text passages from the identified text documents. A clustering engine organizes the most significant concepts in a hierarchical taxonomy. A hypertext knowledge base generator generates a knowledge base by organizing the extracted concepts and associated text passages according to the hierarchical taxonomy.

Examples of various method and systems are provided for information extraction from scene information. 2D image information can be generated from 2D images of the scene that are overlapping at least part of one or more object(s). The 2D image information can be combined with 3D information about the scene incorporating at least part of the object(s) to generate projective geometry information. Clustered 3D information associated with the object(s) can be generated by partitioning and grouping 3D data points present in the 3D information. The clustered 3D information can be used to provide, e.g., measurement information, dimensions, geometric information, and/or topological information about the object(s). Segmented 2D information can also be generated from the 2D image information. Validated 2D and 3D information can be produced by cross-referencing between the projective geometry information, clustered 3D information, and/or segmented 2D image information, and used to label the object(s) in the scene.

A method for determining statistically significant token sequences lends itself for use in the recognition of broken wrappers as well as the construction of new wrapper rules. When new wrapper rules are needed as the underlying wrapped data has changed, training examples are used to recognized data rule candidates that are culled with a bias for rule candidates that would be probably more successful. The resulting rule candidate set is clustered according to feature characteristics, then compared to the training examples. Those rule candidates most similar to the training examples are used to create new wrapper rules.

he invention discloses a medical information extraction system and method based on depth learning and distributed semantic features. The system is composed of a pretreatment module, a linguistic-model-based word vector training module, a massive medical knowledge base reinforced learning module, and a depth-artificial-neural-network-based medical term entity identification module. With a depth learning method, generation of the probability of a linguistic model is used as an optimization objective; and a primary word vector is trained by using medical text big data; on the basis of the massive medical knowledge base, a second depth artificial neural network is trained, and the massive knowledge base is combined to the feature leaning process of depth learning based on depth reinforced learning, so that distributed semantic features for the medical field are obtained; and then Chinese medical term entity identification is carried out by using the depth learning method based on the optimized statement-level maximum likelihood probability. Therefore, the word vector is generated by using lots of unmarked linguistic data, so that the tedious feature selection and optimization adjustment process during medical natural language process can be avoided.

Systems and methods for modeling information from a set of documents are disclosed. A tool allows a user to extract and model concepts of interest and relations among the concepts from a set of documents. The tool automatically configures a database of the model so that the model and extracted concepts from the documents may be customized, modified, and shared.

The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.

In an environment where it is desire to perform information extraction over a large quantity of textual data, methods, tools and structures are provided for building a relational text index from the textual data and performing searches using the relational text index.

System and Method for detecting anomalous network application behavior. Network traffic between at least one client and one or more servers may be monitored. The client and the one or more servers may communicate using one or more application protocols. The network traffic may be analyzed at the application-protocol level to determine anomalous network application behavior. Analyzing the network traffic may include determining, for one or more communications involving the client, if the client has previously stored or received an identifier corresponding to the one or more communications. If no such identifier has been observed in a previous communication, then the one or more communications involving the client may be determined to be anomalous. A network monitoring device may perform one or more of the network monitoring, the information extraction, or the information analysis.

A module information extraction system capable of extracting information from natural language documents. The system includes a plurality of interchangeable modules including a data preparation module for preparing a first set of raw data having class labels to be tested, the data preparation module being selected from a first type of the interchangeable modules. The system further includes a feature extraction module for extracting features from the raw data received from the data preparation module and storing the features in a vector format, the feature extraction module being selected from a second type of the interchangeable modules. A core classification module is also provided for applying a learning algorithm to the stored vector format and producing therefrom a resulting classifier, the core classification module being selected from a third type of the interchangeable modules. A testing module compares the resulting classifier to a set of preassigned classes, where the testing module is selected from a fourth type of the interchangeable modules, where the testing module tests a second set of raw data having class labels received by the data preparation module to determine the degree to which the class labels of the second set of raw data approximately corresponds to the resulting classifier.

A technique for optimizing the number of terms in a profile used for information extraction. This optimization is performed by estimating the number of terms which will substantively affect the information extraction process. That is, the technique estimates the point in a term weight curve where that curve becomes flat. A term generally is important and remains part of the profile as long as its weight and the weight of the next term may be differentiated. When terms' weights are not differentiable, then they are not significant and may be cut off. Reducing the number of terms used in a profile increases the efficiency and effectiveness of the information retrieval process.

A query directed password scheme is disclosed that employs attack-resistant questions having answers that generally cannot be correlated with the user using online searching techniques, such as user opinions, trivial facts, or indirect facts. During an enrollment phase, the user is presented with a pool of questions from which the user must select a subset of such questions to answer. Information extraction techniques optionally ensure that the selected questions and answers cannot be correlated with the user. A security weight can optionally be assigned to each selected question. The selected questions should optionally meet predefined criteria for topic distribution. During a verification phase, the user is challenged with a random subset of the questions that the user has previously answered and answers these questions until a level of security for a given application is exceeded as measured by the number of correct questions out of the number of questions asked. Security may be further improved by combining the query directed password protocol with one or more additional factors such as Caller ID that assure that the questions are likely asked only to the registered user.

In an environment where it is desire to perform information extraction over a large quantity of textual data, methods, tools and structures are provided for building a relational text index from the textual data and performing searches using the relational text index.

Methods and systems for analyzing video-game videos in connection with facilitating video editing and creation and performing automated extraction of information of interest to facilitate labeling of and/or highlight generation for such videos is provided. According to one embodiment, a video, containing content pertaining to a video game, is received by a video-game video analysis system. Information regarding the status of the video game over time is received by retrieving game metadata through an API of the video game or by analyzing audio or visual features within the content. Multiple clips are automatically identified within the video for proposed inclusion within an edited version of the video based on the status of the video game over time. The edited version of the video is then generated by (i) joining the automatically identified clips or (ii) joining multiple user-selected clips, including at least one clip selected from the automatically identified clips.

The invention provides a method for finding hot spots from magnanimous information in the Internet. The method is characterized in that a series of RSS seeds are captured by a network server through analysis in the XML way, and the hypertext markup language of web pages is captured by the reptile technology through the information extraction algorithm, the structured field information of web pages is obtained, the renewal frequency in view of different websites is set, the hot spot degree of web pages is calculated according to parameters such as own renewal rate of websites, authority indexes, information position in the linkout web pages, issue time and click number, and the processes of ordering and recommendation are performed. The invention can help users to find hot spots from magnanimous information in the Internet, so that the efficiency of interested information by the users is obviously promoted.

An optical fiber radio transmission system is provided which is capable of considerably improving the received dynamic range of radio signals and, in addition, is capable of optically transmitting radio signals while preventing the deterioration of transmission performance and the loss of linearity of an input signal more easily. A received level detection section 111 detects which one of predetermined levels, i.e., Level I, Level II, and Level III, the received level of a radio signal received by an antenna 400 falls under. A signal control section 112 performs an amplification/attenuation process on the radio signal in accordance with the detected level. A control information sending section 113 superimposes control information indicating the detected level on a primary signal obtained after the amplification/attenuation process. This signal is converted to an optical signal and transmitted. An optical to electrical conversion section 211 converts the optical signal received from a transmitting unit to an electrical signal. A control information extraction section 212 extracts the level from the control information, which has been superimposed on the primary signal. A signal control section 213 performs an amplification/attenuation process on the primary signal in accordance with the extracted level.

The present invention relates to a merchandise recommending system, and it is an object of the present invention is to derive recommended merchandise through a multiple image search, in which image characteristic information is extracted through a text search or an image search, thereby deriving recommended merchandise. To accomplish the above object, according to one aspect of the present invention, there is provided an operator server comprising a data receiving unit for receiving a ‘merchandise search request signal’ containing a text search or an image search (request) from the user computer and receiving a unique identification number of each user input information and merchandise information together with a corresponding matching table from the manager computer, a matching process module unit for sequentially arranging images by performing a command processing on search keywords that are searched through the characteristic information extraction module unit, a merchandise recommendation module unit for deriving recommended merchandise using the image characteristic information according to a search result, a data transmission unit for transmitting the merchandise extracted through the merchandise recommendation module unit to the user computer, and a data storage unit stores the user input information, merchandise information, unique identification numbers, and matching table.

Disclosed herein is an apparatus and method for estimating the joint structure of a human body. The apparatus includes a multi-view image acquisition unit for receiving multi-view images acquired by capturing a human body. A human body foreground separation unit extracts a foreground region corresponding to the human body from the acquired multi-view images. A human body shape restoration unit restores voxels indicating geometric space occupation information of the human body using the foreground region corresponding to the human body, thus generating voxel-based three-dimensional (3D) shape information of the human body. A skeleton information extraction unit generates 3D skeleton information from the generated voxel-based 3D shape information of the human body. A skeletal structure estimation unit estimates positions of respective joints from a skeletal structure of the human body using both the generated 3D skeleton information and anthropometric information.

A semantic discovery and exploration system is disclosed where an environment enabling a developer or user to uncover, navigate, and organize semantic patterns and structures in a document collection with or without the aid of structured knowledge. The semantic discovery and exploration system provides techniques for searching document collections, categorizing documents, inducing lists of related concepts, and identifying clusters of related terms and documents. This system operates both without and with infusions of structured knowledge such as gazetteers, thesauruses, taxonomies and ontologies. System performance improves when structured knowledge is incorporated. The semantic discovery and exploration system may be used as a first step in developing an information extraction system such as to categorize or cluster documents in a particular domain or to develop gazetteers and as a part of a deployed run-time information extraction system. It may also be used as standalone utility for searching, navigating, and organizing document collections and structured knowledge bases such as dictionaries or domain-specific reference works.

In an environment where it is desire to perform information extraction over a large quantity of textual data, methods, tools and structures are provided for building a relational text index from the textual data and performing searches using the relational text index.

An extraction-rule generation and training system uses information obtained from multiple markup language documents (e.g. web pages) of similar structure to generate an extraction rule for extracting datapoints from markup language documents. By using information extracted from multiple documents of similar structure, including information regarding correlations between such documents, the method produces data extraction rules that provide improved datapoint extraction reliability. Where the structures of two or more documents are not sufficiently similar, the system maintains separate extraction rules for the same datapoint, and applies these separate extraction rules in combination to particular markup language documents to extract the datapoint.

The present invention provides an adaptive, intelligent transform based Analog to Information Converter (AIC) for wideband signals by directly converting an analog signal to information (e.g., features, decisions). This direct conversion is achieved by (i) capturing most of the information of a wideband signal via hardware/software implemented mathematical transformations, (ii) effectively removing unwanted signals such as jammer and interfere from the input signal, and (iii) using novel algorithms for highly accurate decision making and feature extraction (e.g., high probability of detection with low probability of false alarm). The jump in the improvement over today's state-of-the-art is in terms of effective and optimum signal information extraction at high-speed.

The invention discloses a text summarization generation system and method based on coding-decoding deep neural networks. The system comprises: an Internet text obtaining module which is used for obtaining text information on the Internet; a data preprocessing module which is used for preprocessing the text information; a summarization model training module which is used for extracting quantified text information from the preprocessed text information and performing training according to a coding-decoding deep neural network model to obtain a summarization training model; a summarization generation module which is used for using the preprocessed text information as input and outputting summarization information with preset length according to the coding-decoding deep neural network model. The text summarization generation system and method based on coding-decoding deep neural networks have following advantages that text information is compressed into a summarization text with a coherent description by means of computer automatic analysis and abstraction or generation of the central content expressed by the text, which facilitate users to understand the text content and then to quickly read and select information of interest; the text is compressed into a summarization to reduce the browse burden of users.