63 results about "Natural language parsing" patented technology

The system retrieves information from the internet using multiple search engines that are simultaneously launched by the search engine commander. The commander is responsive to a speech-enabled system including a speech recognizer and natural language parser. The user speaks to the system in natural language requests, and the parser extracts the semantic content from the user's speech, based on a set of goal oriented grammars. The preferred system includes a fixed grammar and an updatable or downloaded grammar, allowing the system to be used without extensive training and yet capable of being customized for a particular user's purposes. Results obtained from the search engines are filtered based on information extracted from an electronic program guide and from prestored user profile data. The results may be displayed on screen or through synthesized speech.

A method and system converts statements entered in an ordered natural language into an event-driven model, which may be easily parsed to discover missing or contradictory conditions. A user interface allows a user to enter functional requirements of a design into the system in a well-defined manner. An ordered natural language parser checks each phrase entered by the user for syntax errors and alerts the user of errors or unclear statements. Once any ambiguities are resolved, an engine generates a dynamic event-driven sub model. A parser checks the sub model for logical errors, such as missing or contradictory conditions and alerts the user of the same. A second engine then generates a complete dynamic event-driven model, which can be a combination of several sub models. The complete model can then be simulated and validated.

The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.

The present invention discloses a method and apparatus for improving the performance of a natural language parser. During training, natural language inputs are processed such that statistical information is extracted, concerning the frequency of attachment of certain phrase types of interest to certain other host phrase types. In one embodiment, only unambiguous attachments are examined during training. During runtime this statistical information is used in cases where the attachment of some phrase type of interest is ambiguous. In such cases, the statistical model is used to evaluate the relative likelihood of the alternative attachments resulting in a good interpretation. A syntactic representation can be produced for each alternative attachment that the statistical model deems likely to result in a good interpretation.

In the invention, the information enquiring system comprises: a front-end enquiry subsystem used for transmitting the received natural language type enquiry request to the information enquiring server, and relaying the information enquiry result returned from the information enquiring server; a information enquiring server used for extracting the key words from the information enquiring request, and using the extracted key word to make enquiry in its information data-base. By the invention, users can uses natural language to enquire the database of the information enquiring serve by means of network chat.

The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.

A computer-implemented method for developing a parser is provided. The method includes accessing a corpus of sentences and parsing the sentences to generate a structural description of each sentence. The parser is trained based on the structural description of each sentence.

The embodiment of the invention discloses a natural language utilized distributed intelligent interaction achieving method and a system thereof. The natural language utilized distributed intelligent interaction achieving method includes that a human-computer interaction control module enables a request which is expressed in the form of natural language to be sent to a natural language parsing or understanding module and a processing result which is expressed in the form of machine language is obtained and returned to the human-computer interaction control module according to the request which is expressed in the form of the natural language; the processing result which is expressed in the form of the machine language is converted into a machine executable command; task analysis is performed on the machine executable command to obtain a task execution routing table; task processing is achieved through at least one processing node and a return result which is expressed in the form of the machine language is obtained; the return result which is expressed in the form of the machine language is converted into a return result which is expressed in the form of the natural language and sent to the human-computer interaction control module; display is performed through a human-computer interaction device. The embodiment of the natural language utilized distributed intelligent interaction achieving method and the system thereof can solve the complex problems and greatly improve the success rate of task achievement.

A computer readable medium for analyzing and predicting the future behavior of Organizations, where an embodiment of this invention is comprised of one or more repositories of data which involve comments or other actions by actors with some kind of relationship to a target organization, a repository of metadata relating to this data, a repository of updatable models of organizations, a natural language parsing engine, an engine for generating and comparing the organizational models, and presentations of avatars.

Disclosed are embodiments of systems and methods that allow for simplified creation of a calendar event. In embodiments, an entry may be provided via a simplified entry form. In embodiments, the present invention simplifies the creation of an event through natural language parsing. Embodiments may enable creation of an event for a calendaring application and / or within an application that is not primarily a calendaring application, such as, by way of example, an email application, an SMS / text messaging application, an instant messaging (IM) application, and a social networking application.

The present invention provides a technique for building natural language parsers by implementing a country and / or jurisdiction specific set of training data that is automatically converted during a build phase to a respective predictive model, i.e., an automated country specific natural language parser. The predictive model can be used without the training data to quantify any input address. This model may be included as part of a larger Geographic Information System (GIS) data-set or as a stand alone quantifier. The build phase may also be run on demand and the resultant predictive model kept in temporary storage for immediate use.