Search Results for author:
Found 17 papers, 9 papers with code
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
Despite these efforts, such models encounter challenges such as limited multilingual capabilities, risks of catastrophic forgetting during continual pretraining, and the high costs of training models from scratch, alongside the need to align with AI safety standards and regulatory frameworks.
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
This integration provides rich indicators of pandemic dynamics through learning with temporal graph neural networks.
Grandma Karl is 27 years old -- research agenda for pseudonymization of research data
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 contains, e. g names or political opinions.
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
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 Language and Speech Processing (VLSP 2020).
Multimodal Review Generation with Privacy and Fairness Awareness
Users express their opinions towards entities (e. g., restaurants) via online reviews which can be in diverse forms such as text, ratings, and images.
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
With the rapid growth of Internet media, content tagging has become an important topic with many multimedia understanding applications, including efficient organisation and search.
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
With the rapid growth of Internet media, content tagging has become an important topic with many multimedia understanding applications, including efficient organisation and search.
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good
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 items (i. e., messages) extracted from Facebook, which is the most popular social network site (SNS) in Vietnam.
Reinforced Data Sampling for Model Diversification
With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms.
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
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 for analysis.
dpUGC: Learn Differentially Private Representation for User Generated Contents
To our best knowledge, this is the first work of learning user-level differentially private word embedding model from text for sharing.
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task
We demonstrate the effectiveness of the proposed approach on our pre-trained word embedding models in Vietnamese to select which models are suitable for a named entity recognition (NER) task.
Self-adaptive Privacy Concern Detection for User-generated Content
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.
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony detection in English tweets".
Lexical-semantic resources: yet powerful resources for automatic personality classification
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 personality classification task.
Mining User/Movie Preferred Features Based on Reviews for Video Recommendation System
However, most of the studies beyond one aspect user generated- content such as user ratings, user feedback and so on to state user preferences.
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary
Therefore, we propose a method to construct VSWN from a Vietnamese dictionary, not from WordNet.
