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A Transition-Based Directed Acyclic Graph Parser for UCCA

机译:基于转换的针对UCCA的针对非循环图解析器

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We present the first parser for UCCA, a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation. UCCA poses a challenge for existing parsing techniques, as it exhibits reentrancy (resulting in DAG structures), discontinuous structures and non-terminal nodes corresponding to complex semantic units. To our knowledge, the conjunction of these formal properties is not supported by any existing parser. Our transition-based parser, which uses a novel transition set and features based on bidirectional LSTMs, has value not just for UCCA parsing: its ability to handle more general graph structures can inform the development of parsers for other semantic DAG structures, and in languages that frequently use discontinuous structures.
机译:我们为UCCA提供了第一个解析器,这是一个用于语义表示的跨语言适用的框架,它在广泛的类型学工作中构建并支持快速注释。 UCCA对现有解析技术构成了挑战,因为它表现出重新进入(导致DAG结构),不连续的结构和对应于复杂语义单元的非终端节点。据我们所知,任何现有的解析器都不支持这些正式属性的结合。我们基于转换的解析器,它使用基于双向LSTMS的新型转换集和特征,不仅适用于UCCA解析:它处理更多常规图形结构的能力可以为其他语义DAG结构和语言的开发提供通知解析器的开发经常使用不连续的结构。

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