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End to End Graph Based TAG Parsing with Neural Networks

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Figure 1: Biaffine parsing architecture. For the depen-dency from John to sleeps in the sentence John sleeps,the parser first predicts the head of John and then pre-dicts the dependency label by combining the dependentand head representations
Table 1: Supertagging Results. Joint (Stag) and Joint(POS+Stag) indicate joint parsing models that performsupertagging, and POS tagging and supertagging re-spectively.
Table 6outperforms the other parsers, including the neu-ral network shift-reduce TAG parser (2017performance in the ObQ and RNR constructions.Performance on ObQ is low, we expect, because shows the results.Our joint parserKasai et al.,)
Table 6: Parser accuracy on the unbounded dependency corpus. The results of the first five parsers are takenfrom Rimell et al
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