Semantic Information Extraction: Overview and Basic Techniques
Semantic Information Extraction: Overview and Basic Techniques
Semantic Information Extraction: Overview and Basic Techniques
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Bootstrapping<br />
Initial Seed Tuples:<br />
ORGANIZATION LOCATION<br />
MICROSOFT REDMOND<br />
IBM<br />
ARMONK<br />
BOEING<br />
SEATTLE<br />
INTEL<br />
SANTA CLARA<br />
DIRPRE (Brin 1998) patterns:<br />
’s headquarters in <br />
Snowball patterns:<br />
,<br />
left, middle, right are weighted terms<br />
Initial Seed Tuples Occurrences of Seed Tuples<br />
Generate New Seed Tuples<br />
Augment Table<br />
Generate <strong>Extraction</strong> Patterns<br />
Tag Entities<br />
Evaluating Patterns <strong>and</strong> tuples<br />
(Snowball)<br />
Positive<br />
Conf(Pat) =<br />
Positive+Negative<br />
Conf Tuple = 1 − ∏(1 − Conf P i )<br />
3/21/2012 9:28 AM
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