Abstract: The present invention is a system and method for performing semantic analysis that interprets a linguistic structure output by a natural language linguistic analysis system. The semantic analysis system converts the linguistic output by the natural language linguistic analysis system into a data structure model referred to as a semantic discourse representation structure (SemDRS).

Abstract: The present invention is a system and method for performing semantic analysis that interprets a linguistic structure output by a natural language linguistic analysis system. The semantic analysis system converts the linguistic output by the natural language linguistic analysis system into a data structure model referred to as a semantic discourse representation structure (SemDRS).

Abstract: The present invention is a system and method for performing semantic analysis that interprets a linguistic structure output by a natural language linguistic analysis system. The semantic analysis system converts the linguistic output by the natural language linguistic analysis system into a data structure model referred to as a semantic discourse representation structure (SemDRS).

Abstract: User input defines transmission filter rules to be met when sending an error report to a support provider. User input also defines collection filter rules to be met when including failure data within an error report. Error reports corresponding to crash failures at clients are filtered with the transmission filter rules to determine which of the error reports to send to the support provider, and each error report to be sent to the support provider is further filtered to remove any failure data that fails to satisfy the collection filter rules. Each error report that satisfies the transmission filter rules, along with the failure data satisfying the collection filter rules, is sent to the support provider for analysis. Standard and or custom failure responses corresponding to the failures at the clients may be retrieved and sent to the clients in accordance with the collection filter rules.

Abstract: The present disclosure provides an inventory tracking method for use with semiconductor product. The method can be used to track wafer lots transferred from a front end such as a fabrication (fab) facility, to a back end such as a wafer circuit probe facility. The method includes tracking a lot of wafers being sent to the back end facility and receiving a status report from the back end facility. The status report is compared to a predetermined criteria, and the lot is designated as a first type, such as slow moving, if the status report fails to meet the predetermined criteria. A payment plan is then associated with the lot due to it being designated as slow moving.

Abstract: A software development tool for programming natural language software applications is described. The software development tool includes a programming language and a compiler. The programming language has a set of programming constructs for facilitating natural language programming. The compiler is adapted to take a software program containing instances of the set of programming constructs and to generate a software application.

Abstract: A framework for generating a semantic interpretation of natural language input includes an interpreter, a first set of types, and a second set of types. The interpreter is adapted to mediate between a client application and one or more analysis engines to produce interpretations of the natural language input that are valid for the client application. The first set of types is adapted to define interactions between the interpreter and the one or more analysis engines. The second set of types is adapted to define interactions between the interpreter and the client application.

Abstract: A lexical semantic structure for modeling semantics of a natural language input on a computer is described. A set of lexical semantic categories is selected to model content of the natural language input. A methodology associates content of the natural language input to one or more categories of the set of lexical semantic categories.

Abstract: A linguistic object model is adapted to model semantic elements of a natural language. The linguistic object model includes a set of abstract representations of semantic elements of an utterance. Each abstract representation in the set corresponds to a natural language type that is independent of any particular language.

Abstract: The present invention relates to a method of manipulating a software application and processing data stored in a data source. The method includes receiving a natural language input and analyze the natural language input to identify semantic information contained therein. Portions of the natural language input are associated with command objects and entity objects of a schema based on the semantic information and the natural language input. The method also includes rendering data from the data source in a table of columns and rows based on the schema and the associated portions of the natural language input.

Abstract: The present invention provides a heat-treated plastic pressurized container that is resistant to polar liquids and impact stresses and the process for making such container.

Abstract: The present invention is a system and method for performing semantic analysis that interprets a linguistic structure output by a natural language linguistic analysis system. The semantic analysis system converts the linguistic output by the natural language linguistic analysis system into a data structure model referred to as a semantic discourse representation structure (SemDRS).