Transition-Based Dependency Parsing Exploiting Supertags
Transition-Based Dependency Parsing Exploiting Supertags
复制标题
DOI：
10.1109/taslp.2016.2598310
复制
发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Hiroki Ouchi;Kevin Duh;Hiroyuki Shindo;Yuji Matsumoto
中科院分区：
文献类型：
--
作者：
Hiroki Ouchi;Kevin Duh;Hiroyuki Shindo;Yuji Matsumoto
词汇信息，包括表面词形和词性信息，在依赖关系分析中预测歧义依赖关系时起着至关重要的作用。然而，为了解决依赖关系歧义，表面词信息可能过于稀疏，而POS信息可能过于粗糙。超级标签是表示丰富语法信息的词汇模板，已被证明可以在从粗到细的尺度上提供中间级别的有效功能。在这项工作中，我们提出了一个超级标签设计框架，允许我们基于依赖结构实例化各种超级标签集。使用这个框架，我们实例化了各种超标签集，并将它们用作基于转换的依赖解析系统中的特征。在Penn Treebank和Universal Dependencies数据集上进行的实验表明，我们的超标签对于多语言解析和英语解析中的基于转换的解析器是有效的。不同超级标签集的结果比较表明，在超级标签中加入头部方向性、头部标签和依赖占有信息对于提高解析器的性能至关重要。
Lexical information, including surface word form and part-of-speech (POS) information, plays a crucial role when predicting ambiguous dependency relationships in dependency parsing. However, for resolving dependency ambiguities, surface word information may be too sparse, while POS information may be too coarse. Supertags, which are lexical templates that represent rich syntactic information, have been shown to provide effective features at an intermediate level on the coarse-to-fine scale. In this work, we present a supertag design framework that allows us to instantiate various supertag sets based on the dependency structures. Using this framework, we instantiate various supertag sets and utilize them as features in transition-based dependency parsing systems. Performing experiments on the Penn Treebank and Universal Dependencies data sets, we show that our supertags are effective for transition-based parsers in multilingual parsing as well as English parsing. The comparison of the results of the different supertag sets shows that it is crucial to incorporate the head directionality, head labels, and dependent possession information in supertags to improve the parser performance.