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Notation
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1 - Introduction
- from Part I - Basics
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- 07 January 2021, pp 3-24
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13 - Neural Network
- from Part III - Deep Learning
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- 07 January 2021, pp 289-313
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2 - Counting Relative Frequencies
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- 07 January 2021, pp 25-49
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10 - Predicting Tree Structures
- from Part II - Structures
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- 07 January 2021, pp 212-234
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6 - Hidden Variables
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- 07 January 2021, pp 120-144
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9 - Sequence Segmentation
- from Part II - Structures
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- 07 January 2021, pp 190-211
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16 - Working with Two Texts
- from Part III - Deep Learning
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- 07 January 2021, pp 370-395
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Index
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- 07 January 2021, pp 468-470
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Part II - Structures
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- 07 January 2021, pp 145-146
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Frontmatter
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- 07 January 2021, pp i-iv
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Acknowledgements
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- 07 January 2021, pp xv-xv
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Part III - Deep Learning
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- 07 January 2021, pp 287-288
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17 - Pre-training and Transfer Learning
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- 07 January 2021, pp 396-422
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14 - Representation Learning
- from Part III - Deep Learning
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- 07 January 2021, pp 314-342
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11 - Transition-Based Methods for Structured Prediction
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- 07 January 2021, pp 235-258
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Contents
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- 07 January 2021, pp v-x
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7 - Generative Sequence Labelling
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- 07 January 2021, pp 147-168
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4 - Discriminative Linear Classifiers
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- 07 January 2021, pp 73-97
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8 - Discriminative Sequence Labelling
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- 07 January 2021, pp 169-189
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