User profiles for Thien Nguyen
[PDF][PDF] Relation extraction: Perspective from convolutional neural networks
TH Nguyen, R Grishman - Proceedings of the 1st workshop on …, 2015 - aclanthology.org
Up to now, relation extraction systems have made extensive use of features generated by
linguistic analysis modules. Errors in these features lead to errors of relation detection and …
linguistic analysis modules. Errors in these features lead to errors of relation detection and …
Sentiment analysis on social media for stock movement prediction
The goal of this research is to build a model to predict stock price movement using the sentiment
from social media. Unlike previous approaches where the overall moods or sentiments …
from social media. Unlike previous approaches where the overall moods or sentiments …
DÏoT: A federated self-learning anomaly detection system for IoT
IoT devices are increasingly deployed in daily life. Many of these devices are, however,
vulnerable due to insecure design, implementation, and configuration. As a result, many …
vulnerable due to insecure design, implementation, and configuration. As a result, many …
4× 20 Gbit/s mode division multiplexing over free space using vector modes and a q-plate mode (de) multiplexer
Vector modes are spatial modes that have spatially inhomogeneous states of polarization,
such as, radial and azimuthal polarization. In this work, the spatially inhomogeneous states of …
such as, radial and azimuthal polarization. In this work, the spatially inhomogeneous states of …
Recent advances in natural language processing via large pre-trained language models: A survey
Large, pre-trained language models (PLMs) such as BERT and GPT have drastically
changed the Natural Language Processing (NLP) field. For numerous NLP tasks, approaches …
changed the Natural Language Processing (NLP) field. For numerous NLP tasks, approaches …
[PDF][PDF] Joint event extraction via recurrent neural networks
Event extraction is a particularly challenging problem in information extraction. The stateof-the-art
models for this problem have either applied convolutional neural networks in a …
models for this problem have either applied convolutional neural networks in a …
Chatgpt beyond english: Towards a comprehensive evaluation of large language models in multilingual learning
Over the last few years, large language models (LLMs) have emerged as the most important
breakthroughs in natural language processing (NLP) that fundamentally transform research …
breakthroughs in natural language processing (NLP) that fundamentally transform research …
[PDF][PDF] Event detection and domain adaptation with convolutional neural networks
TH Nguyen, R Grishman - … of the 53rd Annual Meeting of the …, 2015 - aclanthology.org
We study the event detection problem using convolutional neural networks (CNNs) that
overcome the two fundamental limitations of the traditional feature-based approaches to this task…
overcome the two fundamental limitations of the traditional feature-based approaches to this task…
Ntu viral: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint
In recent years, autonomous robots have become ubiquitous in research and daily life. Among
many factors, public datasets play an important role in the progress of this field, as they …
many factors, public datasets play an important role in the progress of this field, as they …
Graph convolutional networks with argument-aware pooling for event detection
T Nguyen, R Grishman - Proceedings of the AAAI Conference on …, 2018 - ojs.aaai.org
The current neural network models for event detection have only considered the sequential
representation of sentences. Syntactic representations have not been explored in this area …
representation of sentences. Syntactic representations have not been explored in this area …