892 citations · 1.1k across the 23 of their papers we have counts for
19 papers · 1 filter
SQLong: Enhanced NL2SQL for Longer Contexts with LLMs
Dai Quoc Nguyen, Cong Duy Vu Hoang, Duy Vu +5
Open-weight large language models (LLMs) have significantly advanced performance in the Natural Language to SQL (NL2SQL) task. However, their effectiveness diminishes when dealing…
Two-view Graph Neural Networks for Knowledge Graph Completion
Vinh Tong, Dai Quoc Nguyen, Dinh Phung +1
We present an effective graph neural network (GNN)-based knowledge graph embedding model, which we name WGE, to capture entity- and relation-focused graph structures. Given a knowl…
Automatic Post-Editing for Vietnamese
Thanh Vu, Dai Quoc Nguyen
Automatic post-editing (APE) is an important remedy for reducing errors of raw translated texts that are produced by machine translation (MT) systems or software-aided translation.…
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Dai Quoc Nguyen, Vinh Tong, Dinh Phung +1
We introduce a novel embedding model, named NoGE, which aims to integrate co-occurrence among entities and relations into graph neural networks to improve knowledge graph completio…
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +1
We propose a simple yet effective embedding model to learn quaternion embeddings for entities and relations in knowledge graphs. Our model aims to enhance correlations between head…
A Vietnamese Question Answering System
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
Question answering systems aim to produce exact answers to users' questions instead of a list of related documents as used by current search engines. In this paper, we propose an o…
A Vietnamese Text-Based Conversational Agent
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question a…
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
Knowledge graph embedding methods often suffer from a limitation of memorizing valid triples to predict new ones for triple classification and search personalization problems. To t…
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +2
In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object). Our CapsE represents each triple…
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu +3
This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony detection in English tweets". We propose to use a simple neural network architecture of Multilayer Perceptron…
A Capsule Network-based Embedding Model for Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +1
Search personalization aims to tailor search results to each specific user based on the user's personal interests and preferences (i.e., the user profile). Recent research approach…
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen +2
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) tasks inc…
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…
Ripple Down Rules for Question Answering
Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham
Recent years have witnessed a new trend of building ontology-based question answering systems. These systems use semantic web information to produce more precise answers to users'…
A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging
Dat Quoc Nguyen, Dai Quoc Nguyen, Dang Duc Pham +1
In this paper, we propose a new approach to construct a system of transformation rules for the Part-of-Speech (POS) tagging task. Our approach is based on an incremental knowledge…