Filtering extracted personal names

• US 20070005578A1
• Filed: 11/18/2005
• Published: 01/04/2007
• Est. Priority Date: 11/23/2004
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Williams, Charles, Patman, Frankie
• Application Number:
  US11/281,881
• Publication Number:
  US 20070005578A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/295 Named entity recognition

Abstract

A particular implementation includes accessing a source of text that includes names, and providing the source of text as an input for a name extraction algorithm. A set of potential names is extracted from the source of text using the name extraction algorithm, and the set of potential names is provided as an input for a post-extraction filtering algorithm. A set of filtered names is produced by filtering the set of potential names against a database of names using the post-extraction filtering algorithm, and the set of filtered names is provided to one or more destinations or users.

Claims

1. A method comprising:

accessing a source of text that includes names;

providing the source of text as an input for a name extraction algorithm;

extracting a set of potential names from the source of text using the name extraction algorithm;

providing the set of potential names as an input for a post-extraction filtering algorithm;

producing a set of filtered names by filtering the set of potential names against a database of names using the post-extraction filtering algorithm; and

providing the set of filtered names.

2. The method of claim 1 further comprising adjusting the name extraction algorithm to emphasize recall and to deemphasize precision so as to provide a larger set of potential names to the post-extraction filtering algorithm than would be provided without the adjustment.

3. The method of claim 2 wherein:

the name extraction algorithm includes a rule for automatically identifying names from within the source of text, and

adjusting the name extraction algorithm comprises broadening the rule so that more text strings satisfy the rule.

4. The method of claim 3 wherein broadening the rule comprises rewriting the rule so that an occurrence of two consecutive names within the source is extracted as a potential name.

5. The method of claim 2 wherein adjusting the name extraction algorithm to emphasize recall and to deemphasize precision comprises adding a rule to the name extraction algorithm for automatically identifying names from within the source of text, wherein the addition of the rule results in the name extraction algorithm being able to extract more text strings as potential names.

6. The method of claim 1 wherein the set of filtered names provides improved recall and improved precision compared with the set of potential names.

7. The method of claim 1 wherein the source of text comprises a source of unstructured text.

8. The method of claim 1 wherein the source of text does not identify text as being a name.

9. The method of claim 1 wherein the database is not used in the extracting of the set of potential names.