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- W2019062011 abstract "We propose a format of a binary phrase structure grammar with composite labels. The grammar adopts binary rules so that the dependency between two sub-trees can be represented in the label of the tree. The label of a tree is composed of two attributes, each of which is extracted from each sub-tree, so that it can represent the compositional information of the tree. The composite label is generated from part-of-speech tags using an automatic labeling algorithm. Since the proposed rule description scheme is binary and uses only part-of-speech information, it can readily be used in dependency grammar and be applied to other languages as well. In the best-1 context-free cross validation on 31,080 tree-tagged corpus, the labeled precision is 79.30%, which outperforms phrase structure grammar and dependency grammar by 5% and by 4%, respectively. It shows that the proposed rule description scheme is effective for parsing Korean." @default.
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- W2019062011 date "2003-09-01" @default.
- W2019062011 modified "2023-09-28" @default.
- W2019062011 title "Automatic Generation of Composite Labels Using Part-of-Speech Tags for Parsing Korean" @default.
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- W2019062011 doi "https://doi.org/10.1142/s0219427903000838" @default.
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