Vine Parsing and Minimum Risk Reranking for Speed and Precision - PowerPoint PPT Presentation
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
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 Risk Reranking
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
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
CoNLL-2006 M. Dreyer, D. A. Smith, N. A. Smith Vine Parsing and Minimum Risk Reranking
CoNLL-2006 M. Dreyer, D. A. Smith, N. A. Smith Vine Parsing and Minimum Risk Reranking
CoNLL-2006 M. Dreyer, D. A. Smith, N. A. Smith Vine Parsing and Minimum Risk Reranking
CoNLL-2006 M. Dreyer, D. A. Smith, N. A. Smith Vine Parsing and Minimum Risk Reranking
CoNLL-2006 M. Dreyer, D. A. Smith, N. A. Smith Vine Parsing and Minimum Risk Reranking
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
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
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
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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