384 results about "Nature based" patented technology

The invention discloses a man-machine interaction method and system based on artificial intelligence. The method includes the following steps of receiving input information input by a user through an application terminal, obtaining the intent information of the user according to the input information of the user, distributing the input information to at least one interaction service subsystem according to the intent information, receiving the return result returned by the interaction service subsystems, generating a user return result according to the return result through a preset decision strategy, and providing the user return result to the user. By means of the method and system, the man-machine interaction system is virtualized instead of being instrumentalized, and the user can obtain the relaxed and pleasure interaction experience in the intelligent interaction process through chat, research and other service. The search in the form of keywords is improved into the search based on natural languages, the user can express demands through flexible and free natural languages, and the multi-round interaction process is closer to the interaction experience among humans.

A system for and method of providing reusable software service information based on natural language queries. The system and method may include receiving, from a user system, query data in a natural language format that indicates a request for a plurality of reusable software service applications that are configured to perform a particular task, processing the query data to generate search criteria that include query values, and searching, a database, for the plurality of reusable software service applications based on the query values.

The present invention provides a method of processing at least one natural language text using a graph. The method includes determining a plurality of text units based upon the natural language text, associating the plurality of text units with a plurality of graph nodes, and determining at least one connecting relation between at least two of the plurality of text units. The method also includes associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes and determining a plurality of rankings associated with the plurality of graph nodes based upon the at least one graph edge. The method can also include a graphical visualization of at least one important text unit in a natural language text or collection of texts. Methods for word sense disambiguation, keyword extraction, and sentence extraction are also provided.

An interactive virtual agent (avatar) system includes a plurality of databases configured to store at least one of client specific information and non-client specific information, internal resources configured to provide access to information sources, the character interface configured to receive information from a user, and respond to the user with information based on the received information, a processing engine coupled with the client knowledge database, the basic knowledge database, the internal resources, and the character interface.

A financial activity network includes a central managing system connected to a plurality of participant terminals. Rules governing operation of the financial activity are stored for future reference. A participant provides investment information such as a map location for the predicted strike by the natural event and, optionally, one or more secondary parameters relating to the natural event, such as the time interval between the time of investment and the time of an event strike and / or the severity of the event strike according to an established scale. In one example, an external objective independent information source is consulted, with the external objective independent information source providing monitoring, interpretation and derived determination of parameters pertaining to the natural event. Methods and articles of manufacture are also disclosed.

An interactive virtual agent (avatar) system includes a plurality of databases configured to store at least one of client specific information and non-client specific information, internal resources configured to provide access to information sources, the character interface configured to receive information from a user, and respond to the user with information based on the received information, a processing engine coupled with the client knowledge database, the basic knowledge database, the internal resources, and the character interface.

A computer method and system for deblurring an image is provided. The invention method and system of deblurring employs statistics on distribution of intensity gradients of a known model. The known model is based on a natural image which may be unrelated to the subject image to be deblurred by the system. Given a subject image having blur, the invention method / system estimates a blur kernel and a solution image portion corresponding to a sample area of the subject image, by applying the statistics to intensity gradients of the sample area and solving for most probable solution image. The estimation process is carried out at multiple scales and results in a blur kernel. In a last step, the subject image is deconvolved image using the resulting blur kernel. The deconvolution generates a deblurred image corresponding to the subject image.

The invention discloses a full text retrieval system based on natural language understanding, comprising: a database server, an information receiving judging module, a natural language processing module, a retrieving module, an indexing module, an index database and a result set processing module. The system of the invention provides two resolution strategies, that is, word classification static with semantic analysis associated with automatic segmentation and expanding inquired word static according to Hownet rule for low intelligence situation of current search engine. The deployed system converts information retrieval from current key word-based layer to knowledge (or concept)-based layer; the invention is capable of using techniques such as word classification, synonym, concept search, phrase identification, etc. with understanding and processing ability to knowledge. The search engine is provided with intelligence and humanization of information service. The user is allowed using natural language for information retrieval. The invention is capable of adding user selection behavior in interactive operation mode, so as to provide more convenient, more precise search service.

Systems and processes for rule-based natural language processing are provided. In accordance with one example, a method includes, at an electronic device with one or more processors, receiving a natural-language input; determining, based on the natural-language input, an input expression pattern; determining whether the input expression pattern matches a respective expression pattern of each of a plurality of intent definitions; and in accordance with a determination that the input expression pattern matches an expression pattern of an intent definition of the plurality of intent definitions: selecting an intent definition of the plurality of intent definitions having an expression pattern matching the input expression pattern; performing a task associated with the selected intent definition; and outputting an output indicating whether the task was performed.

The present invention provides a method of processing at least one natural language text using a graph. The method includes determining a plurality of text units based upon the natural language text, associating the plurality of text units with a plurality of graph nodes, and determining at least one connecting relation between at least two of the plurality of text units. The method also includes associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes and determining a plurality of rankings associated with the plurality of graph nodes based upon the at least one graph edge. The method can also include a graphical visualization of at least one important text unit in a natural language text or collection of texts. Methods for word sense disambiguation, keyword extraction, and sentence extraction are also provided.

A method and a system for extracting information from a natural language text corpus based on a natural language query are disclosed. In the method the natural language text corpus is analyzed with respect to surface structure of word tokens and surface syntactic roles of constituents, and the analyzed natural language text corpus is then indexed and stored. Furthermore a natural language query is analyzed with respect to surface structure of word tokens and surface syntactic roles of constituents. From the analyzed natural language query one or more surface variants are then created, where these surface variants are equivalent to the natural language query with respect to lexical meaning of word tokens and surface syntactic roles of constituents. The surface variants are then compared with the indexed and stored analyzed natural language text corpus, and each portion of text comprising a string of word tokens that matches the any one of the surface variants or the natural language query is extracted from the indexed and stored analyzed natural language text corpus.

The invention discloses a natural language processing-based multi-language analysis method and device. The method comprises the following steps of: selecting to input a natural language text information language category through a language detection training model; obtaining word embedding expression information of corresponding words which can be recognized by a computer through a trained word vector model, and extracting a keyword of the obtained word embedding expression information through a TF-IDF manner; calculating an article vector and a category vector of each preset category according to the keyword and a keyword weight, and calculating a similarity between an article of natural language text information and each preset category so as to determine a text classification result ofthe natural language text information; and inputting the word embedding expression information of the natural language text information into a trained convolutional neural network and a parallel-framework text emotion analysis model of a bidirectional gate circulation unit, and obtaining a final emotion tendency value through calculation. According to the method and device, the problem that traditional multi-language analysis method needs to know domain knowledges of related linguistics and needs plenty of manpower to carry out operation is solved.

A method for analyzing types of water sources based on natural geographical feature, the method includes: collecting and processing remote sensing image data of target area, and obtaining maximum and minimum value of an annual vegetation index; subtracting the minimum value from the maximum value to obtain maximum variation range of annual vegetation index; extracting topography factors from a digital elevation model in target area; obtaining a natural vegetation area in target area; carrying out a normalization processing for the maximum variation range and the topography factors in this natural regions, and obtaining landform zones and situation of plant growth of different zones in the natural vegetation area by spatial cluster analysis in ArcGIS; obtaining a precipitation of landform zones in the growing season and the distances between the landform zones and the water sources, and obtaining the zones for the types of water sources based on natural geographical features.

System and methods are disclosed for providing answers to search queries, and for searching using association data without requiring keyword matching. Datasets representing objects and their properties are created from unstructured data sources based on natural language analysis methods, and can be used to answer queries about objects or properties of objects. Implementations include general information search engines and embodiments for searching products, services, people, or other objects without knowing the names of such objects, or searching for information about known objects by using either keyword-based queries or natural language queries such as asking questions. System and methods are also provided for creating a structured or semi-structured representation of various unstructured data, in contrast to the conventional term-vector or term-document matrix representation.

A method and apparatus for performing discriminative training of, for example, call routing training data (or, alternatively, other classification training data) which improves the subsequent classification of a user's natural language based requests. An initial scoring matrix is generated based on the training data and then the scoring matrix is adjusted so as to improve the discrimination between competing classes (e.g., destinations). In accordance with one illustrative embodiment of the present invention a Generalized Probabilistic Descent (GPD) algorithm may be advantageously employed to provide the improved discrimination. More specifically, the present invention provides a method and apparatus comprising steps or means for generating an initial scoring matrix comprising a numerical value for each of a set of n classes in association with each of a set of m features, the initial scoring matrix based on a set of training data and, for each element of said set of training data, based on a subset of said features which are comprised in the natural language text of said element of said set of training data and on one of said classes which has been identified therefor; and based on the initial scoring matrix and the set of training data, generating a discriminatively trained scoring matrix for use by said classification system by adjusting one or more of said numerical values such that a greater degree of discrimination exists between competing ones of said classes when said classification requests are performed, thereby resulting in a reduced classification error rate.

The embodiment of the invention provides an intelligent inquiry method, device and system. The problem that an existing inquiry way is low in efficiency is solved. The intelligent inquiry method comprises the step that symptom information of a patient is connected on the basis of a text or voice interaction mode of natural language; the collected symptom information is stored in a preset inquiry template; patient condition information for a preset association end to output and display is generated on the basis of the symptom information stored in the inquiry template, wherein the patient condition information comprises one or more of prediction symptom type information, prediction registration department information and symptom information.

The present invention discloses a natural language-based robot deep interacting and reasoning method and device. The method comprises 1) a speech identification step of receiving the user speech input, and processing an input signal to obtain the text information; 2) a case attribute obtaining step of carrying out the participle processing on the text obtained in the step 1), and then carrying out the similarity matching on the text after participle and the cases in a case base to extract the attributes of the cases; 3) a deep dialogue and three dimensional scene interaction step of if the intention of the user obtained according to the case attributes extracted in the step 2) is not complete, repeatedly guiding a user by combining a real-time map file obtained by a Kinect sensor until the complete intention is obtained, and then generating a solution scheme aiming at a working task of the user complete intention; a speech synthesis step of displaying the obtained solution scheme in a text format, synthesizing the speech, and feeding back to the user via a sound device. During an interaction process of the present invention, a robot and the user both use a natural language.

The invention provides an Internet intelligent mirror based on a natural user interface. The Internet intelligent mirror mainly comprises a base, a square mirror frame, a filter single lens, a light emitting screen and a mainboard. The filter single lens, the light emitting screen and the mainboard are located in the square mirror frame. The filter single lens is located on one side, facing a user, of the intelligent mirror. The light emitting screen and the mainboard are located on the rear side of the filter single lens. The mainboard is located below the light emitting screen. A loudspeaker A, an infrared transmitter, a color camera, a depth sensor, a microphone and a loudspeaker B are sequentially disposed on the upper portion of the front side of the square mirror frame from left to right. During use, a user can interacts with the mirror through voices and gestures by facing the mirror, and experiences such as physical data measuring and virtual try on are achieved. The Internet intelligent mirror has the advantages that the mirror can understand human languages and the gestures of people; when the user faces the mirror, Internet information browsing can be achieved by voice control, virtual clothes can be tried on through gesture control so as to decide intraday wearing, and body bone motion trajectories can be recorded and analyzed to aid various exercises high in body posture requirements.

Disclosed herein is a natural language-based tour destination recommendation apparatus and method. The natural language-based tour destination recommendation apparatus includes a query analysis unit, a tour destination search unit, and a tour destination recommendation and provision unit. The query analysis unit performs linguistic analysis on a user's tour-related query and then extracting query analysis information to be used for figuring out the user's intention from a document index DB. The tour destination search unit searches a tour destination DB for one or more recommended tour destinations using the extracted query analysis information. The tour destination recommendation and provision unit provides the retrieved recommended tour destinations to the user.

Techniques are provided for determining predictive models of discourse functions based on prosodic features of natural language speech. Inter and intra sentential discourse functions in a training corpus of natural language speech utterances are determined. The discourse functions are clustered. The exemplary prosodic features associated with each type of discourse function are determined. Machine learning, observation and the like are used to determine a subset of prosodic features associated with each type of discourse function useful in predicting the likelihood of each type of discourse function.

The invention discloses an image target detection method based on natural language semantics. Input of the method includes natural language phrase description of an image to be detected and a target to be detected; the image target detection method includes the steps that a global feature graph of the image to be detected is calculated through a convolutional neural network, then the global feature graph is input into an RPN network to calculate an alternative target set, a regional feature graph of an alternative target is extracted from the calculated alternative target set through an RoI pooling layer, the global feature graph of the image, the regional feature graph of the alternative target region and position information are used as context and combined with query phrase word vectors to represent input of an LSTM module and calculate the conditional probability of query phrases generated in the target region, and a detection result is returned according to the conditional probability. The natural language processing module LSTM model is fused into the Faster-RCNN frame, the shared computation characteristic of the Faster-RCNN frame and the image characteristics extraction advantage of the convolutional network are used for improving target detection efficiency and accuracy based on natural language semantics.

Methods and systems for obtaining an ocular aberration measurement of an eye of a patient are provided. Exemplary techniques involve obtaining a first induced metric for the eye that corresponds to a first accommodation state of the eye, obtaining a second induced metric for the eye that corresponds to a second accommodation state of the eye, and determining a natural metric of the eye based on the first and second induced metrics. An induced metric may include a pupil size or a spherical aberration. Techniques can also include determining a target metric for the eye base on the natural metric, determining whether an actual metric of the eye meets the target metric, obtaining an ocular aberration measurement of the eye if the actual metric meets the target metric, and determining a treatment for the eye based on the ocular aberration measurement.

Described herein is a user interface that provides contextual feedback, controls and interface elements on a display screen of an interactive three-dimensional imaging system. A user interacts with the interface to provide control signals in accordance with those recognised by the system to a makes use of at least one POI in a three-dimensional scene that is imaged by the imaging system to provide control signals for the user interface. Control signals are provided by means of gestures which are analysed in real-time by gesture recognition processes that analyse statistical and geometrical properties of POI motion and trajectories.

The invention provides a device for automatically formatting and unionizing medical documents written in natural language. The device comprises medical documents which are based on electric case history systems used in Chinese hospitals and written in the natural language, a Chinese medical standard word library which is classified according to disease type, a natural language analysis based data pick-up system which is used for converting the documents written in the natural language into the standard formatting document, a database which is classified according to the disease type and used for clinical scientific research, a document conversion system used for automatically converting the formatting document into the standard document with consolidation form, and a privilege system used for protecting private information of patients and doctors treating the patients. The device has the advantages of realizing automatization of the medical information management, making the doctors conveniently and quickly look up information related to certain disease, greatly saving time and making the doctors have more energy to be put in the disease research.

The invention discloses a real-time intelligent monitoring method based on natural video. The method uses the knowledge of computer image processing and artificial intelligence and realizes unmanned intelligent monitoring and alarm to the action of pedestrian in public places and important sensitive places. Firstly, video frame serial sections which need to be studied are extracted, movable historical images are obtained, which reflect the movement process of the people; on this base, the user-defined method for extracting the eigenvector is used, vector representation of the specific movement series is obtained, and the vector sample is stored in the sample database; as for the video frame serial which need to be monitored, the eigenvector and sample data are mapped in the low dimensional space, the corresponding classification by the optimized method is obtained and alarm is carried out. Owing to the sample study mechanism and the classification mechanism of the designed actions in the text, the method of the invention improves the accuracy of identification and strengthens the expansibility of identification; by designing the eigenvector representation and extraction method of movement serial of the people, the completeness and accuracy of action representation are strengthened.

Providing visualizations based on natural language searches. A method includes receiving a natural language query from a client. The method further includes based on the natural language query, obtaining a semantic model of the natural language query. The method further includes based on the semantic model, obtaining a list of a plurality of visualizations, the visualizations being based on a bias ranking of the visualizations in the list. The method further includes providing the list of the plurality of visualizations to the client, where at the client a set of visualization construction rules are applied to select a visualization from the list to apply results from the natural language query to the visualization.

The invention discloses an identity card number recognition method and a device based on a natural scene. An identity card picture which is distinct and can enable the identity card number to be recognized by a human eye is acquired through a front-end hardware device, and the hardware device can be a mobile phone, a camera, a scanner and the like; and through technical means such as image processing and mode recognition, automatic extraction and recognition are carried out on the identity card number. The technical scheme is mainly as follows: the captured picture is firstly subjected to image pre-processing, wherein the pre-processing comprises noise removal, image gray level conversion, identity card boundary extraction, and image binarization; connection region searching is carried out on the binary image after pre-processing, and certain candidate regions with dense characters are determined to be the regions of the identity card number; local binarization processing is then carried out on each candidate region, the position of each character is acquired, and character segmentation on a gray level image is carried out; and finally, a deep learning method is used for recognizing each segmented character, discrimination is then carried out according to the arrangement sequence of the identity card number, the width and the height of each character and the character recognition confidence, and a character sequence with the highest confidence level is selected as the final recognition result and is outputted.

A computer method and system for deblurring an image is provided. The invention method and system of deblurring employs statistics on distribution of intensity gradients of a known model. The known model is based on a natural image which may be unrelated to the subject image to be deblurred by the system. Given a subject image having blur, the invention method / system estimates a blur kernel and a solution image portion corresponding to a sample area of the subject image, by applying the statistics to intensity gradients of the sample area and solving for most probable solution image. The estimation process is carried out at multiple scales and results in a blur kernel. In a last step, the subject image is deconvolved image using the resulting blur kernel. The deconvolution generates a deblurred image corresponding to the subject image.

The invention is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The invention includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.

A natural language based location query system and a method thereof. The system comprises a receiving device which receives a request for natural language query from a user terminal; an access device which accesses a location ontology base and a location query language base that are external to the system or internal in the system, wherein the location ontology base comprising knowledge descriptions about the field of a location service, and the location query language base comprising a language model for the location service query; a natural language query processing device which performs at least one of a fuzzy processing and an indirection processing on the received request for natural language query by searching the location ontology base and the location query language base with the access device, retrieves location information corresponding to the request from a location database; and a sending device which sends the location information to the user terminal. This invention also provides a keyword based location query system and a method thereof, and a natural language based and keyword based location query system and a method thereof. This invention not only process user fuzzy query and indirect query, but also process compound sentence query and query having semantic error. Therefore, the degree of freedom of user query is enhanced and the location query is more flexible and accurate.