26 citations · 56 across the 5 of their papers we have counts for
6 papers · 1 filter
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations
Na Liu, Mark Dras, Wei Emma Zhang
Although deep neural networks have achieved state-of-the-art performance in various machine learning tasks, adversarial examples, constructed by adding small non-random perturbatio…
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang, Can Xu, Huang Hu +5
Sequence-to-Sequence (S2S) neural text generation models, especially the pre-trained ones (e.g., BART and T5), have exhibited compelling performance on various natural language gen…
From Word Segmentation to POS Tagging for Vietnamese
Dat Quoc Nguyen, Thanh Vu, Dai Quoc Nguyen +2
This paper presents an empirical comparison of two strategies for Vietnamese Part-of-Speech (POS) tagging from unsegmented text: (i) a pipeline strategy where we consider the outpu…
A Fast and Accurate Vietnamese Word Segmenter
Dat Quoc Nguyen, Dai Quoc Nguyen, Thanh Vu +2
We propose a novel approach to Vietnamese word segmentation. Our approach is based on the Single Classification Ripple Down Rules methodology (Compton and Jansen, 1990), where rule…
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen, Mark Dras, Mark Johnson
We present a novel neural network model that learns POS tagging and graph-based dependency parsing jointly. Our model uses bidirectional LSTMs to learn feature representations shar…
Native Language Identification using Stacked Generalization
Shervin Malmasi, Mark Dras
Ensemble methods using multiple classifiers have proven to be the most successful approach for the task of Native Language Identification (NLI), achieving the current state of the…