892 citations · 1.5k across the 38 of their papers we have counts for
7 papers · 1 filter
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen +1
In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of-the-art models by employing a convolutional neura…
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…
Sequence to Sequence Learning for Event Prediction
Dai Quoc Nguyen, Dat Quoc Nguyen, Cuong Xuan Chu +2
This paper presents an approach to the task of predicting an event description from a preceding sentence in a text. Our approach explores sequence-to-sequence learning using a bidi…
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 Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi +2
Word embeddings are now a standard technique for inducing meaning representations for words. For getting good representations, it is important to take into account different senses…
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…
A survey of embedding models of entities and relationships for knowledge graph completion
Dat Quoc Nguyen
Knowledge graphs (KGs) of real-world facts about entities and their relationships are useful resources for a variety of natural language processing tasks. However, because knowledg…