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搜索结果: 1-12 共查到Dependency Parsing相关记录12条 . 查询时间(0.078 秒)
Transition-based parsing is a widely used approach for dependency parsing that combines high efficiency with expressive feature models. Many different transition systems have been proposed, often form...
Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The standard pipe...
We explore the contribution of lexical and inectional morphology features to dependency parsing of Arabic, a morphologically rich language with complex agreement patterns. Using controlled ex...
We introduce dependency parsing schemata, a formal framework based on Sikkel's parsing schemata for constituency parsers, which can be used to describe, analyze, and compare dependency parsing algorit...
Parsing algorithms that process the input from left to right and construct a single derivation have often been considered inadequate for natural language parsing because of the massive ambiguity typ...
This article presents a dependency parsing scheme using an extended nite-state approach. The parser augments input representation with “channels” so that links representing syntactic dependen...
We show how punctuation can be used to improve unsupervised dependency parsing. Our linguistic analysis confirms the strong connection between English punctuation and phrase boundaries in the Penn Tre...
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering algorithms, our metho...
Greed is Good if Randomized: New Inference for Dependency Parsing
Selective Sharing for Multilingual Dependency Parsing
In this paper we describe an intuitionistic method for dependency parsing, where a classifier is used to determine whether a pair of words forms a dependency edge.And we also propose an effective stra...
We describe for dependency parsing an an-notation adaptation strategy, which can au-tomatically transfer the knowledge from a source corpus with a different annota-tion standard to the desired target ...

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