OPEN HOUSE on Multi-Task and Complex Outputs Learning

Machine Learning for Sequential Data: A Comparative Study with Applications to Natural Language Processing

author: Sandor Canisius, University of Tilburg

Categories

Top: Computer Science: Machine Learning: Human Language Technology
Top: Computer Science: Natural Language Processing

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*Slides*
0:00	Machine learning for sequential data:
0:02	Machine learning for sequential data:
1:27	Predicting label sequences
2:05	Sequences in NLP
4:32	Sequences in NLP
5:46	Machine learning methods
7:48	Benchmark data sets
9:38	Benchmark data sets
10:20	Case study:
11:12	Case study:
12:09	Learning method
12:51	Sequence prediction methods
14:18	Features
18:04	Results
20:07	Results
22:02	Observations
22:50	Recurrent sliding window
23:16	Ratnaparkhi's conditional markov models
23:59	FAQ segmentation
24:46	Results
25:25	Discussion
26:40	Discussion
28:00	Results

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