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• W2104120877 abstract "Via an oracle experiment, we show that the upper bound on accuracy of a CCG parser is significantly lowered when its search space is pruned using a supertagger, though the supertagger also prunes many bad parses. Inspired by this analysis, we design a single model with both supertagging and parsing features, rather than separating them into distinct models chained together in a pipeline. To overcome the resulting increase in complexity, we experiment with both belief propagation and dual decomposition approaches to inference, the first empirical comparison of these algorithms that we are aware of on a structured natural language processing problem. On CCGbank we achieve a labelled dependency F-measure of 88.8% on gold POS tags, and 86.7% on automatic part-of-speeoch tags, the best reported results for this task." @default.
• W2104120877 created "2016-06-24" @default.
• W2104120877 creator A5072223342 @default.
• W2104120877 creator A5083212922 @default.
• W2104120877 date "2011-06-19" @default.
• W2104120877 modified "2023-09-23" @default.
• W2104120877 title "A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing" @default.
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• W2104120877 hasPublicationYear "2011" @default.
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