Statistical Parsing of Tree Wrapping Grammars

Statistical Parsing of Tree Wrapping Grammars
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DOI:
10.18653/v1/2020.coling-main.595
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发表时间:
2020-12
期刊:
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通讯作者:
Tatiana Bladier;J. Waszczuk;Laura Kallmeyer
Tatiana Bladier;J. Waszczuk;Laura Kallmeyer
中科院分区:
其他
文献类型:
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作者:
Tatiana Bladier;J. Waszczuk;Laura Kallmeyer

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我们描述了一种方法,统计分析与树包装文法(TWG)。TWG是一种树的重写形式,它包含了替换、姊妹添加和包树替换的树组合操作。TWG可以从选区树库中提取,旨在以语言学上适当的方式表示长距离依赖(LDD)。我们提出了一种基于神经超标记和A* 分析的TWG分析算法。我们提取TWG的角色和参考语法的树库中的英语,并讨论了第一次分析结果与此语法。
We describe an approach to statistical parsing with Tree-Wrapping Grammars (TWG). TWG is a tree-rewriting formalism which includes the tree-combination operations of substitution, sister-adjunction and tree-wrapping substitution. TWGs can be extracted from constituency treebanks and aim at representing long distance dependencies (LDDs) in a linguistically adequate way. We present a parsing algorithm for TWGs based on neural supertagging and A* parsing. We extract a TWG for English from the treebanks for Role and Reference Grammar and discuss first parsing results with this grammar.