Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation

Gated Recursive Neural Network for Chinese Word Segmentation

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined on word-level. Therefore word segmentation is the precondition of depe…

A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network

In this work, we address the problem to model all the nodes (words or phrases) in a dependency tree with the dense representations. We propose a recursive convolutional neural network (RCNN) architecture to capture synta…

Neural Joint Model for Transition-based Chinese Syntactic Analysis

We present neural network-based joint models for Chinese word segmentation, POS tagging and dependency parsing. Our models are the first neural approaches for fully joint Chinese analysis that is known to prevent the err…

Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling Annotation for Chinese Language

In this paper, we propose a new annotation approach to Chinese word segmentation, part-of-speech (POS) tagging and dependency labelling that aims to overcome the two major issues in traditional morphology-based annotatio…