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dynamic programming algorithm for
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parsing which is guaranteed to
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· ) in our algorithms . DP
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parsing is still a special case
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shift-reduce algorithm into a
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algorithm . To describe this
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the grammars . We further pursue
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parsing for unificationbased
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unification-based grammars , and ( ii )
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parsing with beam thresholding
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is in training . The previous
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parsers are all trained in the
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parsing , beam search , and the
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parsing algorithm of Sagae and
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( Sagae and Lavie , 2005 ) and
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CFG parsing ( Sagae and Lavie
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unification was used . " beamb " means
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parsing with beam threshold b
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W13-2009 |
and the output of the the GDep
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dependency parser ( Sagae and
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significant speedup on a probablistic
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parser , and makes exact search
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Algorithm ( Knuth , 1977 ) . Non-DP
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parsing can be viewed as searching
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re , 3 Dynamic Programming for
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Best-First Shift-Reduce
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Parsing 3.1 Dynamic Programming
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training time . 4 Evaluation of
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Constituent Parsing This section
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programming ( DP ) algorithm for
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parsing , which applies the DP
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actions . 4.2 Best-First Earley DP
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parsing is analogous to weighted
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possible in Section 3 . 2.2 Previous
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Parsing The basic idea behind
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prefix costs are the same . 3
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Constituent Parsing with Structured
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derivations for the next step . 2.2
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Best-First Shift-Reduce
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Parsing Sagae and Lavie ( 2006
|