Machine Learning for Sequential Data: A Comparative Study with Applications to Natural Language Processing
Lecture slides:
- Machine learning for sequential data:
- Predicting label sequences
- Sequences in NLP
- Machine learning methods
- Benchmark data sets
- Case study:
- Learning method
- Sequence prediction methods
- Features
- Results
- Observations
- Recurrent sliding window
- Ratnaparkhi's conditional markov models
- FAQ segmentation
- Results
- Discussion
- Results
Author: Sandor Canisius, University Of Tilburg