0.25
0.5
0.75
1.25
1.5
1.75
2
Evaluating Machine Learning for Information Extraction
Published on Feb 25, 20074829 Views
Related categories
Chapter list
PASCAL CHALLENGE ON EVALUATING MACHINE LEARNING FOR INFORMATION EXTRACTION 00:01
Organisers00:24
Outline00:44
Goal : Provide a testbed for comparative evaluation of ML-based IE01:39
Data (Workshop CFP)03:50
Data (Workshop CFP)04:42
Data (Workshop CFP)04:54
Data (Workshop CFP)05:03
TITLE05:37
Annotation Slots07:19
Preprocessing07:42
Evaluation Tasks08:34
Evaluation09:42
Participants10:17
Task111:13
Task1: Test Corpus11:17
Task1: Test Corpus12:06
Task1: Test Corpus12:52
Task1: 4-Fold Cross-validation13:17
Task1: 4-Fold & Test Corpus13:31
Task1: Slot FMeasure14:17
Best Slot FMeasures Task1: Test Corpus15:41
Task 2a16:46
Task2a: Learning Curve FMeasure16:50
Task2a: Learning Curve Precision17:21
Task2a: Learning Curve Recall17:48
Task 2b18:34
Task2b: Active Learning18:37
Task2b: Active Learning Increased FMeasure over random selection19:06
Task 319:33
Conclusions (Task1)19:40
Conclusion (Task2 & Task3)23:15
Future Work23:28
Thank You24:21