20 citations · 69 across the 15 of their papers we have counts for
18 papers
Towards Training and Inference of Graph Neural Networks in Graph Databases
Victor Pekkari, Harry Wik, Alfred Clemedtson +2
Graph Neural Networks on large graphs commonly rely on in-memory graph storage with ad hoc data processing pipelines for both training and inference. Graph databases provide scalab…
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources
Huu Nguyen, Victor May, Harsh Raj +14
We present MixtureVitae, an open-access pretraining corpus built to minimize legal risk while providing strong downstream performance. MixtureVitae follows a permissive-first, risk…
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification
Arezoo Hatefi, Xuan-Son Vu, Monowar Bhuyan +1
We extend and study a semi-supervised model for text classification proposed earlier by Hatefi et al. for classification tasks in which document classes are described by a small nu…
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
Taishi Nakamura, Mayank Mishra, Simone Tedeschi +42
Pretrained language models are an integral part of AI applications, but their high computational cost for training limits accessibility. Initiatives such as Bloom and StarCoder aim…
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong Son Hy, Lili Jiang +1
Accurate forecasting and analysis of emerging pandemics play a crucial role in effective public health management and decision-making. Traditional approaches primarily rely on epid…
Grandma Karl is 27 years old -- research agenda for pseudonymization of research data
Elena Volodina, Simon Dobnik, Therese Lindström Tiedemann +1
Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it cont…
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To +8
This paper reports on the ReINTEL Shared Task for Responsible Information Identification on social network sites, which is hosted at the seventh annual workshop on Vietnamese Langu…
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good
Xuan-Son Vu, Thanh Vu, Mai-Vu Tran +2
The paper describes the organisation of the "HateSpeech Detection" (HSD) task at the VLSP workshop 2019 on detecting the fine-grained presence of hate speech in Vietnamese textual…
Reinforced Data Sampling for Model Diversification
Hoang D. Nguyen, Xuan-Son Vu, Quoc-Tuan Truong +1
With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms. However, the involved data selection process may fundamen…
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy +1
Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging especially if one wants to do it efficiently and retain the flexibility by choosing features of interest fo…
dpUGC: Learn Differentially Private Representation for User Generated Contents
Xuan-Son Vu, Son N. Tran, Lili Jiang
This paper firstly proposes a simple yet efficient generalized approach to apply differential privacy to text representation (i.e., word embedding). Based on it, we propose a user-…
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task
Xuan-Son Vu, Thanh Vu, Son N. Tran +1
Given many recent advanced embedding models, selecting pre-trained word embedding (a.k.a., word representation) models best fit for a specific downstream task is non-trivial. In th…
Self-adaptive Privacy Concern Detection for User-generated Content
Xuan-Son Vu, Lili Jiang
To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in which scientific noise is injected into the real analysis output. The noise masks i…
On Multi-resident Activity Recognition in Ambient Smart-Homes
Son N. Tran, Qing Zhang, Mohan Karunanithi
Increasing attention to the research on activity monitoring in smart homes has motivated the employment of ambient intelligence to reduce the deployment cost and solve the privacy…
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…
Lexical-semantic resources: yet powerful resources for automatic personality classification
Xuan-Son Vu, Lucie Flekova, Lili Jiang +1
In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic per…
Mining User/Movie Preferred Features Based on Reviews for Video Recommendation System
Xuan-Son Vu, Seong-Bae Park
In this work, we present an approach for mining user preferences and recommendation based on reviews. There have been various studies worked on recommendation problem. However, mos…
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary
Xuan-Son Vu, Seong-Bae Park
SentiWordNet is an important lexical resource supporting sentiment analysis in opinion mining applications. In this paper, we propose a novel approach to construct a Vietnamese Sen…