REDUCTION OF ANNOTATIONS TO EXTRACT STRUCTURED WEB DATA

Patent №

US 8,046,360

Granted

2011-10-25

Filed 2007

Owner

YAHOO! INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11956130

Document, such as web pages of a domain, are annotated to facilitate extracting structured information from the documents. The documents are clustered. Each cluster is such that the documents within that cluster are similar to each other at least with respect to a first threshold, such as according to a shingling metric, where the first threshold is an 8/8 shingling match. There is at least one overlap cluster, each overlap cluster including at least one of the plurality of clusters such that documents of the at least one cluster included in that overlap cluster are similar to each other at least with respect to a second threshold that is lower than the first threshold. A particular overlap cluster is designated, as is a particular cluster of the particular overlap cluster. For the particular designated cluster, an obtained annotation is transferred to other clusters included in the designated particular overlap cluster.

AI classification

Natural language0.99
AI hardware0.99
Planning0.99
Knowledge representation0.86
Machine learning0.62
Evolutionary computation0.14
Vision0.02
Speech0.00

Ownership

YAHOO! INC.

assignment · 202500516

Assignors

TIYYAGURA, MAHESH

On an employer assignment, the assignors are typically the inventors.

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