摘要:
Methods of ranking documents on a network using an incrementally-updatable system are disclosed. Computer readable storage media having stored computer-executable instructions for performing a method of ranking documents on a network using an incrementally-updatable system are also disclosed. Further, computing devices containing at least one application module comprising application code for performing methods of ranking documents on a network using an incrementally-updatable system are disclosed.
摘要:
The subject disclosure pertains to systems and methods for performing natural language processing in which natural language input is mapped to a task. The system includes a task interface for defining a task, the associated data and the manner in which the task data is interpreted. Furthermore, the system provides a framework that manages the tasks to facilitate natural language processing. The task interface and framework can be used to provide natural language processing capabilities to third party applications. Additionally, the task framework can learn or be trained based upon feedback received from the third party applications.
摘要:
Scripting core commands and aggregations of such commands are provided to script authors to enable them to generate scripts that can be parallel-processed without requiring the author to be aware of parallel-processing techniques. The scripting core commands and aggregations abstract mechanisms that can be executed in parallel, enabling the script author to focus on higher-level concepts. The scripting core commands provided include commands for applying a function in parallel and distributing and joining data in parallel. For added flexibility, one or more scripting core commands can utilize functions written in a different programming language and referenced appropriately in code blocks.
摘要:
The subject disclosure pertains to systems and methods for performing natural language processing in which tokens are mapped to task slots. The system includes a mapper component that generates a lattice representing possible interpretations of the tokens, a decoder component that creates a ranked list of paths traversing the lattice, a scorer component that generates scores used to rank paths and post-processing components that format the paths for use by other software. Each of these components may be independent, such that the component may be modified or replaced without affecting the remaining components. This allows a variety of different mathematical models and algorithms to be tested or deployed without requiring changes to the remainder of the system.