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Selective Sampling for Information Extraction with a Committee of Classifiers
Published on Feb 25, 20074522 Views
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Chapter list
Selective Sampling for Information Extraction with a Committee of Classifiers00:00
Overview00:21
Approaches to Active Learning00:56
Committee02:08
Feature Split03:24
KL-divergence (McCallum & Nigam, 1998)04:15
Evaluation Results05:26
Discussion06:08
Overview06:39
Other Selection Metrics06:41
Costing Active Learning08:23
Related Work: BioNER09:14
Simulation Results: Sentences09:51
Simulation Results: Tokens10:20
Simulation Results: Entities10:40
Costing AL Revisited (BioNLP data)10:53
Document Cost Metric (Dev)12:31
Token Cost Metric (Dev)12:48
Document Cost Metric (Dev)13:04
Discussion13:11
Longest Document Baseline13:46
Confusion Matrix (1)13:48
Confusion Matrix (2)14:36
Confusion Matrix (1)14:53
Confusion Matrix (2)15:11
Confusion Matrix (3)16:17
Confusion Matrix (4)16:38
Overview17:59
Conclusions18:00
Thank you19:10