International Conference on Machine Learning - Bonn 2005

Evaluating Machine Learning for Information Extraction

author: Neil Ireson, Web Intelligence Technologies group, University of Sheffield, Department of Computer Science, University of Sheffield

Categories

Top: Computer Science: Information Extraction

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*Slides*
0:01	PASCAL CHALLENGE ON EVALUATING MACHINE LEARNING FOR INFORMATION EXTRACTION
0:24	Organisers
0:44	Outline
1:39	Goal : Provide a testbed for comparative evaluation of ML-based IE
3:50	Data (Workshop CFP)
4:42	Data (Workshop CFP)
4:54	Data (Workshop CFP)
5:03	Data (Workshop CFP)
5:37	TITLE
7:19	Annotation Slots
7:42	Preprocessing
8:34	Evaluation Tasks
9:42	Evaluation
10:17	Participants
11:13	Task1
11:17	Task1: Test Corpus
12:06	Task1: Test Corpus
12:52	Task1: Test Corpus
13:17	Task1: 4-Fold Cross-validation
13:31	Task1: 4-Fold & Test Corpus
14:17	Task1: Slot FMeasure
15:41	Best Slot FMeasures Task1: Test Corpus
16:46	Task 2a
16:50	Task2a: Learning Curve FMeasure
17:21	Task2a: Learning Curve Precision
17:48	Task2a: Learning Curve Recall
18:34	Task 2b
18:37	Task2b: Active Learning
19:06	Task2b: Active Learning Increased FMeasure over random selection
19:33	Task 3
19:40	Conclusions (Task1)
23:15	Conclusion (Task2 & Task3)
23:28	Future Work
24:21	Thank You

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