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Elie: A two-level boundary classification approach to adaptive information extraction
Published on Feb 25, 20074135 Views
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Chapter list
Information Extraction by Multi-Level Boundary Classification00:01
Information Extraction00:21
Information Extraction00:57
Adaptive Information extraction01:23
Overview01:47
IE as classification02:23
IE as classification03:27
Features03:50
Encoding example04:34
Performance05:15
Precision05:45
Recal06:15
Improving performance06:24
Learning with ELIE07:14
L1 and L2 learning07:37
L1 and L208:14
Learning10:00
Extracting10:13
Experiments L210:15
Precision10:54
Recal11:36
F-measure12:00
Precision12:30
Recall12:39
F-measure12:42
Pascal challenge task12:45
Pascal challenge results13:43
Reasons ELIE performs poorly15:14
Performance loss with Imbalanced Data16:14
Imbalanced Data17:17
Imbalance in IE datasets18:11
Improvements/Future work19:01