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Improved Parsing and POS Tagging Using Inter Sentence Consistency Constraints

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Figure

Figure 1: An example constraint from dependency pars-ing. The black nodes are modifiers observed in the train-to the consensus POS tag of the head word of these mod-ing data
Figure 2: The global decoding algorithm for dependencyparsing models.
Table 1: Exploratory statistics for constraint selection.The table shows the percentage of context types for whichthe probability of the most frequent head tag is at least p .Head in Context refers to the subset of contexts where themost frequent head is w
Table 2: Dependency parsing UAS for domain adapta-tion. WSJ is the Penn TreeBank. QTB is the Question-Bank
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