Selective Sampling for Information Extraction with a Committee of Classifiers

author: Ben Hachey, University of Edinburgh

Categories

Top: Computer Science: Information Extraction

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*Slides*
0:00	Selective Sampling for Information Extraction with a Committee of Classifiers
0:21	Overview
0:56	Approaches to Active Learning
2:08	Committee
3:24	Feature Split
4:15	KL-divergence (McCallum & Nigam, 1998)
5:26	Evaluation Results
6:08	Discussion
6:39	Overview
6:41	Other Selection Metrics
8:23	Costing Active Learning
9:14	Related Work: BioNER
9:51	Simulation Results: Sentences
10:20	Simulation Results: Tokens
10:40	Simulation Results: Entities
10:53	Costing AL Revisited (BioNLP data)
12:31	Document Cost Metric (Dev)
12:48	Token Cost Metric (Dev)
13:04	Document Cost Metric (Dev)
13:11	Discussion
13:46	Longest Document Baseline
13:48	Confusion Matrix (1)
14:36	Confusion Matrix (2)
14:53	Confusion Matrix (1)
15:11	Confusion Matrix (2)
16:17	Confusion Matrix (3)
16:38	Confusion Matrix (4)
17:59	Overview
18:00	Conclusions
19:10	Thank you

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