Amazon Technologies, Inc.

Pedro Ribeiro

Arpit Mittal

Sina Samangooei

David Spike Palfrey

Petra Elisabeth Holmes

Mihai Valentin Tablan

Dianhuan Lin

Emilio Fabio Monti

Benjamin David Scott

A query parsing system uses a multi-stage process to parse the text of incoming queries before attempting to answer the queries. The multi-stage configuration involves a first trained classifier to determine the query type, or intent, of the text and a plurality of second trained classifiers, where each of the second trained classifiers is configured particularly for one specific respective query type. During query processing, the first trained classifier is used on the text to identify the query type. A second trained classifier for that specific identified query type is then found and used on the text to identify what strings in the text correspond to specific entities needed to resolve the query. The identified text strings and query type are then placed into a form understandable by a knowledge base and sent to the knowledge base for resolution. The classifiers may be trained using queries and answers previously processed by the knowledge base using a rules/template resolution process.

Multi-stage query processing

Growing community of inventors

Cambridge, United Kingdom

Pedro Ribeiro