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Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)最新文献

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Toward a cognitive dependency grammar of Hungarian 走向匈牙利语的认知依赖语法
András Imrényi
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引用次数: 0
Exceptive constructions. A Dependency-based Analysis 特殊的结构。基于依赖的分析
M. Galal, Sylvain Kahane, Yomna Safwat
The goal of this paper is to provide a description of the syntax of exceptive constructions within a dependency framework. These constructions are introduced in English by the markers except, but, except for, apart from, other than, etc. Examining their syntactic properties across a variety of languages shows that they imply two main types of constructions: The paradigmatic - EC and the hypotactic - EC. The first type shares many properties with coordination, and it can be integrated into the paradigmatic lists/piles phenomena in which two segments of the utterance pile up on the same syntactic position and whose most famous case is coordination.
本文的目的是提供依赖性框架中异常结构的语法描述。这些结构在英语中由except, but, except for, apart from, other than等标记引入。在各种语言中考察它们的句法特征表明,它们暗示着两种主要类型的结构:聚合- EC和形合- EC。第一种类型与配位有许多相似之处,它可以被整合到话语的两个片段在同一句法位置上堆积的聚合列表/堆现象中,其中最著名的例子是配位。
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引用次数: 0
Delimiting Adverbial Meanings. A corpus-based comparative study on Czech spatial prepositions and their English equivalents 限定状语的意义。基于语料库的捷克语空间介词及其英语对等词的比较研究
Marie Mikulová, V. Kolářová, J. Panevová, E. Hajicová
The data of the Prague Czech-English Dependency Treebank (a member of the family of Prague Dependency Treebanks) have served as a basis for the comparative study of delimiting adverbial meanings of the local relation “within the given place”. The Czech prepositional groups containing the prepositions v, na, and u with the above meaning are compared with their English equivalents, using a more subtle differentiation into three semantic subgroups of "inside", "on the surface" and "at the given place". Our analysis confirms that though every language structures the reality in a different way, certain tendencies may be observed in the relation of the forms and their functions that eventually result in a more detailed classification. The contribution presents results of an ongoing work.
布拉格语依存树库(布拉格依存树库家族的成员)的数据为“给定地点内”的地方关系状语划分的比较研究提供了依据。将具有上述意义的介词v、na和u的捷克语介词组与英语介词组进行比较,将其更细微地划分为“在里面”、“在表面上”和“在给定的地方”三个语义亚组。我们的分析证实,尽管每种语言都以不同的方式构成现实,但在形式和功能的关系中可以观察到某些趋势,这些趋势最终导致更详细的分类。该贡献介绍了正在进行的工作的结果。
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引用次数: 0
Dependency Parsing as Sequence Labeling with Head-Based Encoding and Multi-Task Learning 基于头部编码和多任务学习的依赖解析序列标注
Ophélie Lacroix
Dependency parsing as sequence labeling has recently proved to be a relevant alternative to the traditional transitionand graph-based approaches. It offers a good trade-off between parsing accuracy and speed. However, recent work on dependency parsing as sequence labeling ignore the pre-processing time of Part-of-Speech tagging – which is required for this task – in the evaluation of speed while other studies showed that Part-of-Speech tags are not essential to achieve state-ofthe-art parsing scores. In this paper, we compare the accuracy and speed of shared and stacked multi-task learning strategies – as well as a strategy that combines both – to learn Part-of-Speech tagging and dependency parsing in a single sequence labeling pipeline. In addition, we propose an alternative encoding of the dependencies as labels which does not use Part-of-Speech tags and improves dependency parsing accuracy for most of the languages we evaluate.
作为序列标记的依赖解析最近被证明是传统的基于转换和图的方法的相关替代方案。它在解析精度和速度之间提供了一个很好的权衡。然而,最近关于依赖解析作为序列标注的工作在速度评估中忽略了词性标注的预处理时间——这是该任务所必需的,而其他研究表明词性标注对于获得最新的解析分数并不是必需的。在本文中,我们比较了共享和堆叠多任务学习策略以及结合两者的策略在单个序列标记管道中学习词性标记和依赖解析的准确性和速度。此外,我们提出了一种替代的依赖编码作为标签,它不使用词性标签,并提高了我们评估的大多数语言的依赖解析精度。
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引用次数: 5
Association Metrics in Neural Transition-Based Dependency Parsing 基于神经转换的依赖分析中的关联度量
Patricia Fischer, Sebastian Pütz, Daniël de Kok
Lexical preferences encoded as association metrics have been shown to improve performance on structural ambiguities that are still challenging for modern parsers. This paper introduces a mechanism to include lexical preferences into a neural transition-based dependency parser for German. We compare pointwise mutual information (PMI) and embedding-based scores. Both the PMI-based model and the embedding-based model outperform the baseline significantly. The best model is PMI-based and increases overall performance by 0.26 LAS points over the baseline.
作为关联度量编码的词法首选项已被证明可以提高处理结构歧义的性能,而结构歧义对于现代解析器来说仍然是一个挑战。本文介绍了一种将词法偏好包含到基于神经转换的德语依赖解析器中的机制。我们比较了点互信息(PMI)和基于嵌入的分数。基于pmi的模型和基于嵌入的模型都明显优于基线。最好的模型是基于pmi的,总体性能比基线提高了0.26 LAS点。
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引用次数: 1
How to Parse Low-Resource Languages: Cross-Lingual Parsing, Target Language Annotation, or Both? 如何解析低资源语言:跨语言解析,目标语言注释,还是两者兼而有之?
Ailsa Meechan-Maddon, Joakim Nivre
How to Parse Low-Resource Languages : Cross-Lingual Parsing, Target Language Annotation, or Both?
如何解析低资源语言:跨语言解析,目标语言注释,还是两者兼而有之?
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引用次数: 13
期刊
Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)
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