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Syntactic representations based on word-to-word dependencies have a long-standing tradition in descriptive linguistics, and receive considerable interest in many applications. Nevertheless, dependen...
Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The standard pipe...
We show how punctuation can be used to improve unsupervised dependency parsing. Our linguistic analysis confirms the strong connection between English punctuation and phrase boundaries in the Penn Tre...
We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lateen EM alternates bet...
We show that orthographic cues can be helpful for unsupervised parsing. In the Penn Treebank, transitions between upper- and lowercase tokens tend to align with the boundaries of base (English) noun p...
We present a new family of models for unsupervised parsing, Dependency and Boundary models, that use cues at constituent boundaries to inform head-outward dependency tree generation. We build on three...
Modern grammar induction systems often employ curriculum learning strategies that begin by training on a subset of all available input that is considered simpler than the full data. Traditionally, fil...
Accurate scoring of syntactic structures such as head-modifier arcs in dependency parsing typically requires rich, highdimensional feature representations.
Coherence: A Dependency Grammar Analysis。
Welcome to the "Dependency-Based Approaches to Natural Language Syntax" website, or DG Website in short. As the title already indicates, this website is dedicated to linguistic approaches to the desc...

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