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Sequence Labeling, Contd Prof. Sameer Singh CS 295: STATISTICAL NLP - PowerPoint PPT Presentation

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Sequence Labeling, Contd Prof. Sameer Singh CS 295: STATISTICAL NLP WINTER 2017 February 2, 2017 Based on slides from Dan Klein, and everyone else he copied from. Outline Marginal Inference in HMMs: F/B algorithm Maximum Entropy Markov

  1. Sequence Labeling, Contd Prof. Sameer Singh CS 295: STATISTICAL NLP WINTER 2017 February 2, 2017 Based on slides from Dan Klein, and everyone else he copied from.

  2. Outline Marginal Inference in HMMs: F/B algorithm Maximum Entropy Markov Models Conditional Random Fields Neural Sequence Tagging CS 295: STATISTICAL NLP (WINTER 2017) 2

  3. Outline Marginal Inference in HMMs: F/B algorithm Maximum Entropy Markov Models Conditional Random Fields Neural Sequence Tagging CS 295: STATISTICAL NLP (WINTER 2017) 3

  4. Expectation Maximization K-Means Initialization Pick K random centroids Label Data from the Model Cluster all the points Update the Model from Data Update centroids CS 295: STATISTICAL NLP (WINTER 2017) 4

  5. Label Data from the Model Hard-EM Soft-EM CS 295: STATISTICAL NLP (WINTER 2017) 5

  6. Dynamic Programming CS 295: STATISTICAL NLP (WINTER 2017) 6

  7. Forward Backward Algorithm CS 295: STATISTICAL NLP (WINTER 2017) 7

  8. Updating the Model from Data Hard-EM Soft-EM CS 295: STATISTICAL NLP (WINTER 2017) 8

  9. Outline Marginal Inference in HMMs: F/B algorithm Maximum Entropy Markov Models Conditional Random Fields Neural Sequence Tagging CS 295: STATISTICAL NLP (WINTER 2017) 9

  10. Named Entity Recognition George W. Bush spoke from the White House today . PER PER PER O O O LOC LOC O O B-PER I-PER I-PER O O O B-LOC I-LOC O O B-PER I-PER E-PER O O O B-LOC E-LOC O O CS 295: STATISTICAL NLP (WINTER 2017) 10

  11. Max. Entropy Markov Models CS 295: STATISTICAL NLP (WINTER 2017) 11

  12. Graphical Model Notation S E HMMs S E MEMMs CS 295: STATISTICAL NLP (WINTER 2017) 12

  13. Adding Features (for POS) Current Word Window Words CS 295: STATISTICAL NLP (WINTER 2017) 13

  14. Adding Features S E CS 295: STATISTICAL NLP (WINTER 2017) 14

  15. Predictions Using MEMMs Greedy Viterbi Decoding CS 295: STATISTICAL NLP (WINTER 2017) 15

  16. Training MEMMs CS 295: STATISTICAL NLP (WINTER 2017) 16

  17. Outline Marginal Inference in HMMs: F/B algorithm Maximum Entropy Markov Models Conditional Random Fields Neural Sequence Tagging CS 295: STATISTICAL NLP (WINTER 2017) 17

  18. Label Bias Problem B B B S I I I E O O O B B CS 295: STATISTICAL NLP (WINTER 2017) 18

  19. Conditional Random Fields CS 295: STATISTICAL NLP (WINTER 2017) 19

  20. Graphical Model Notation S E HMMs/MEMMs S E CRFs CS 295: STATISTICAL NLP (WINTER 2017) 20

  21. Predictions Using CRFs CS 295: STATISTICAL NLP (WINTER 2017) 21

  22. Likelihood Training of CRFs CS 295: STATISTICAL NLP (WINTER 2017) 22

  23. Likelihood Training of CRFs CS 295: STATISTICAL NLP (WINTER 2017) 23

  24. Forward-Backward Algorithm CS 295: STATISTICAL NLP (WINTER 2017) 24

  25. Outline Marginal Inference in HMMs: F/B algorithm Maximum Entropy Markov Models Conditional Random Fields Neural Sequence Tagging CS 295: STATISTICAL NLP (WINTER 2017) 25

  26. Simple Neural Tagger NN PRP VB food Start I love End CS 295: STATISTICAL NLP (WINTER 2017) 26

  27. MEMM -ish Neural Tagger E NN S PRP VB food Start I love End CS 295: STATISTICAL NLP (WINTER 2017) 27

  28. Recurrent Neural Tagger NN PRP VB food I love CS 295: STATISTICAL NLP (WINTER 2017) 28

  29. Bidirectional RNN Tagger NN PRP VB I love food CS 295: STATISTICAL NLP (WINTER 2017) 29

  30. Upcoming… Homework 2 is due (~10 days): February 13, 2017 • Homework Write-up, data, and code for Homework 2 is up • Ask questions early! • Proposal is due on Tuesday: February 7, 2017 • Project Only 2 pages • Paper summaries: February 17, February 28, March 14 • Summaries Only 1 page each • CS 295: STATISTICAL NLP (WINTER 2017) 30

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