30 citations · 56 across the 8 of their papers we have counts for
8 papers
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon +6
We introduce an approach to identifying speaker names in dialogue transcripts, a crucial task for enhancing content accessibility and searchability in digital media archives. Despi…
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection
Minh Van Nguyen, Kishan KC, Toan Nguyen +3
Answer sentence selection (AS2) in open-domain question answering finds answer for a question by ranking candidate sentences extracted from web documents. Recent work exploits answ…
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…
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…
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…
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…
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…
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…