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PASCAL Challenges Workshop 1

Elie: A two-level boundary classification approach to adaptive information extraction

author: Aidan Finn, Institute of Technology Sligo,
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Slides
0:01 Information Extraction by Multi-Level Boundary Classification
0:21 Information Extraction
0:57 Information Extraction
1:23 Adaptive Information extraction
1:47 Overview
2:23 IE as classification
3:27 IE as classification
3:50 Features
4:34 Encoding example
5:15 Performance
5:45 Precision
6:15 Recal
6:24 Improving performance
7:14 Learning with ELIE
7:37 L1 and L2 learning
8:14 L1 and L2
10:00 Learning
10:13 Extracting
10:15 Experiments L2
10:54 Precision
11:36 Recal
12:00 F-measure
12:30 Precision
12:39 Recall
12:42 F-measure
12:45 Pascal challenge task
13:43 Pascal challenge results
15:14 Reasons ELIE performs poorly
16:14 Performance loss with Imbalanced Data
17:17 Imbalanced Data
18:11 Imbalance in IE datasets
19:01 Improvements/Future work

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