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- W3127324795 abstract "We propose a novel in-order chart-based model for constituent parsing. Compared with previous CKY-style and top-down models, our model gains advantages from in-order traversal of a tree (rich features, lookahead information and high efficiency) and makes a better use of structural knowledge by encoding the history of decisions. Experiments on the Penn Treebank show that our model outperforms previous chart-based models and achieves competitive performance compared with other discriminative single models." @default.
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- W3127324795 date "2021-02-08" @default.
- W3127324795 modified "2023-09-27" @default.
- W3127324795 title "In-Order Chart-Based Constituent Parsing." @default.
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