Information retrieval system and method for distinguishing misrecognized queries and unavailable documents

• US 20060265388A1
• Filed: 05/20/2005
• Published: 11/23/2006
• Est. Priority Date: 05/20/2005
• Status: Abandoned Application

• Current Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Original Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Inventors: Woelfel, Joseph K.
• Application Number:
  US11/134,690
• Publication Number:
  US 20060265388A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/433 using audio data

Abstract

A system and method disambiguates between an incorrectly recognized spoken query and a correctly recognized spoken query for which there are no currently available documents in a database. The method generates a list of unavailable categories of documents. The method also generates surrogate documents that include query terms similar to the categories of unavailable documents. Each surrogate documents also includes a description that indicates why the document is not available. The surrogate documents are included in the database along with the available documents. Spoken queries are matched against all documents in the database including the surrogate documents. If a surrogate document is retrieved, then the user is presented with the description that describes why that category of documents is not available.

Claims

1. A method for retrieving documents from a database, using a spoken query, comprising:

selecting documents from a global database according to a predetermined selection criterion;

inserting the selected documents in a local database;

parsing each document in the global database to produce a global list of document categories;

parsing each document in the local database to produce a local list of document categories;

generating a surrogate document for each category represented in the global list of document categories that is not included in the local list of document categories, the surrogate document including a description of why the document is not available in the local list of document categories;

converting a spoken query to a search query; and

searching the local database and the surrogate documents to produce a result list.

2. The method of claim 1, further comprising:

combining the local database and the surrogate documents in an augmented database; and

searching the augmented database to produce a result list.

3. The method of claim 1, in which each document describes a point of interest, and each document includes a location of the point selection, and the search criteria is a distance between each location and a known position.

4. The method of claim 3, in which the position is associated with a user.

5. The method of claim 3, in which the distances are compared to a predetermined distance threshold.

6. The method of claim 1, in which the search query is text.

7. The method of claim 1, in which the search query is a word lattice.

8. The method of claim 1, in which the search is a phonetic representation.

9. The method of claim 1, further comprising:

ranking documents included in the result list according to relevance with respect to the spoken query.

10. A system for retrieving documents from a database, using a spoken query, comprising:

means for selecting documents from a global database according to a predetermined selection criterion;

a local database including the selected documents;

means for parsing each document in the global database to produce a global list of document categories;

means for parsing the each document in the local database to produce a local list of document categories;

means for generating a surrogate document for each category represented in the global list of document categories that is not included in the local list of document categories, the surrogate document including a description of why the document is not available in the local list of document categories;

means for converting a spoken query to a search query; and

means for searching the local database and the surrogate documents to produce a result list.