activity
20182022
most citedCross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks

1 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL2022

MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection

Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt +1

Event Detection (ED) is the task of identifying and classifying trigger words of event mentions in text. Despite considerable research efforts in recent years for English text, the…

cs.CL20221 cited

FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

Minh Van Nguyen, Nghia Trung Ngo, Bonan Min +1

This paper presents FAMIE, a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction. FAMIE is designed to address a fundamental problem in…

cs.CL20211 cited

Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks

Minh Van Nguyen, Viet Dac Lai, Thien Huu Nguyen

Existing works on information extraction (IE) have mainly solved the four main tasks separately (entity mention recognition, relation extraction, event trigger detection, and argum…

cs.CL2021

Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing

Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh +1

We introduce Trankit, a light-weight Transformer-based Toolkit for multilingual Natural Language Processing (NLP). It provides a trainable pipeline for fundamental NLP tasks over 1…

cs.CL2018

Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs

Minh Nguyen, Thien Huu Nguyen

Finding names of people killed by police has become increasingly important as police shootings get more and more public attention (police killing detection). Unfortunately, there h…

cs.CR2018

A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing

Minh Nguyen, Toan Nguyen, Thien Huu Nguyen

Anti-phishing aims to detect phishing content/documents in a pool of textual data. This is an important problem in cybersecurity that can help to guard users from fraudulent inform…