Evidence-Based Natural Language Input Recognition

摘要

Methods, devices, and computer program products for recognizing and responding to natural language input are described herein. Natural language input is received at a natural language input interface of a computing device and transformed into computer-usable text. A natural language input recognizer obtains evidence from one or more evidence source and generates an evidence graph based on the evidence obtained. Evidence may be obtained asynchronously, and the natural language input recognizer may update the evidence graph upon receipt of additional evidence. The natural language input recognizer generates a set of recognition hypotheses based on the evidence graph and selects one of the recognition hypotheses as a recognition result for the natural language input. Semantic models, evidence models, and response models may be employed to generate the evidence graph and respond to the recognition result selected for the natural language input.

主权项

1. A method of recognizing natural language input comprising:
receiving natural language input at a natural language input interface of a computing device comprising a natural language input recognizer; obtaining, by the natural language input recognizer, evidence from an evidence source; generating, by the natural language input recognizer, an evidence graph based, at least in part, on the evidence obtained; generating a set of recognition hypotheses based, at least in part, on the evidence graph; and selecting one of the recognition hypotheses as a recognition result for the natural language input.