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Vine Parsing and Minimum Risk Reranking for Speed and Precision Markus Dreyer David A. Smith Noah A. Smith Johns Hopkins University Design Goals Speed Precision CoNLL-2006 M. Dreyer, D. A. Smith, N. A. Smith Vine Parsing and Minimum


  1. Vine Parsing and Minimum Risk Reranking for Speed and Precision Markus Dreyer David A. Smith Noah A. Smith Johns Hopkins University

  2. Design Goals Speed Precision CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  3. E L M d e h t o o m S U -best unlabeled Unlabeled Parser parses E L U × L -best labeled M d e h t o o m S Labeler parses r a e n i l g - o L Reranker Collins (2000) Charniak and Johnson (2005) CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  4. Unlabeled Parser Split-Head assumption Projectivity Vine Grammar Eisner and N. Smith (2005) CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  5. CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  6. CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  7. CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  8. CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  9. CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  10. 2 + nB right r o f s d 2 n u o b O ( nB left ) t n e r e f f D i right n e r d l h i c t e f l d n a f f o e d a r T y c a r u c c A - d e e p S : s d n u o b e s o o h C d e h c u o t n u s e i c n e d n e p e d a l n i g i r o f o % 0 9 CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  11. Reranker Minimum Risk Training Deterministic annealing D. Smith and Eisner (2006) CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  12. M e d i a n 6 7 . 6 Labeled Japanese (82.9), Portuguese (75.3), Bulgarian (74.8), Chinese (71.6), German (71.0) M e d i a n 7 7 . 5 Unlabeled Japanese (86.0), Portuguese (82.4), Bulgarian (82.0), Swedish (79.5), Chinese (77.6) CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

  13. Summary Unlabeled Labeler Reranker Parser  Parsing constraints  Linear-time inference and decoding  Minimum Risk reranking Future Work  High precision ,  Better estimation  Better labeler (label bigrams) mediocre recall  More fine-grained parsing constraints (length bounds given head) CoNLL-2006  M. Dreyer, D. A. Smith, N. A. Smith  Vine Parsing and Minimum Risk Reranking

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