Induction, Training, and Parsing Strategies beyond Context-free Grammars

This thesis considers the problem of assigning a sentence its syntactic structure, which may be discontinuous. It proposes a class of models based on probabilistic grammars that are obtained by the automatic refinement of a given grammar. Different strategies for parsing with a refined grammar are developed. The induction, refinement, and application of two types of grammars (linear context-free rewriting systems and hybrid grammars) are evaluated empirically on two German and one Dutch corpus.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Technische Universität Dresden

Year

2020

Author dc:creator

• Gebhardt, Kilian

Contributors dc:contributor

• Vogler, Heiko
• Kuhlmann, Marco
• Rudolph, Sebastian

• discontinuous parsing
• latent variable grammar
• interpreted regular tree grammar
• hybrid grammar
• linear context-free rewriting system
• syntactic parsing
• Hybridgrammatiken
• Diskontinuierliches Parsing
• Syntaktisches Parsing