The strongly typed syntax of grammar formalisms such as CCG, TAG, LFG and HPSG offers
a synchronous framework for deriving syntactic structures and semantic logical forms. In …

This thesis proposes a robust, hybrid, deep-syntatic dependency-based parsing architecture
and presents its implementation and evaluation. The architecture and the implementation …

This paper introduces the new grammar formalism of Extensible Dependency Grammar
(XDG), and emphasizes the benefits of its methodology of explaining complex phenomena …

In this paper, we propose a novel method for semi-supervised learning of nonprojective log-
linear dependency parsers using directly expressed linguistic prior knowledge (eg a noun's …

In this paper, we combine two ideas: one is the recently identified need to extend ontologies
with a richer lexical layer, and the other is the use of ontology design patterns for ontology …

This thesis develops Extensible Dependency Grammar (XDG), a new grammar formalism
combining dependency grammar, model-theoretic syntax, and Jackendoff'; s parallel …

The concept of metagrammar has been introduced to factorize information contained in a
grammar. A metagrammar compiler can then be used to compute an actual grammar from a …

We propose a novel dependency-based hybrid tree model for semantic parsing, which
converts natural language utterance into machine interpretable meaning representations …

Syntactic representations based on word-to-word dependencies have a long tradition in
descriptive linguistics [29]. In recent years, they have also become increasingly used in …

Abstract Machine learning has facilitated many recent advances in natural language
processing and information extraction. Unfortunately, most machine learning methods rely …