当前位置: X-MOL 学术Inf. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A derivational model of discontinuous parsing
Information and Computation ( IF 1 ) Pub Date : 2020-08-10 , DOI: 10.1016/j.ic.2020.104619
Mark-Jan Nederhof , Anssi Yli-Jyrä

The notion of latent-variable probabilistic context-free derivation of syntactic structures is enhanced to allow heads and unrestricted discontinuities. The chosen formalization covers both constituency parsing and dependency parsing. By the new framework, one obtains a probability distribution over the space of all discontinuous parses. This lends itself to intrinsic evaluation in terms of cross-entropy. The derivational model is accompanied by an equivalent automaton model, which can be used for deterministic parsing.



中文翻译:

不连续解析的推导模型

句法结构的潜在变量概率上下文无关推导的概念得到增强,以允许头部和不受限制的不连续性。所选择的形式化涵盖了选区解析和依赖解析。通过新框架,可以在所有不连续解析的空间上获得概率分布。这有助于根据交叉熵进行内在评估。派生模型伴随着一个等效的自动机模型,可用于确定性解析。

更新日期:2020-08-10
down
wechat
bug