9 citations · 17 across the 3 of their papers we have counts for
7 papers
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…
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
Viet Dac Lai, Tuan Ngo Nguyen, Thien Huu Nguyen
Recent studies on event detection (ED) haveshown that the syntactic dependency graph canbe employed in graph convolution neural net-works (GCN) to achieve state-of-the-art per-form…
Extensively Matching for Few-shot Learning Event Detection
Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen
Current event detection models under super-vised learning settings fail to transfer to newevent types. Few-shot learning has not beenexplored in event detection even though it al-l…
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen
The existing event classification (EC) work primarily focuseson the traditional supervised learning setting in which models are unableto extract event mentions of new/unseen event…
Extending Event Detection to New Types with Learning from Keywords
Viet Dac Lai, Thien Huu Nguyen
Traditional event detection classifies a word or a phrase in a given sentence for a set of predefined event types. The limitation of such predefined set is that it prevents the ada…