892 citations · 1.5k across the 38 of their papers we have counts for
11 papers · 1 filter
End-to-end neural relation extraction using deep biaffine attention
Dat Quoc Nguyen, Karin Verspoor
We propose a neural network model for joint extraction of named entities and relations between them, without any hand-crafted features. The key contribution of our model is to exte…
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing
Dat Quoc Nguyen
We propose the first multi-task learning model for joint Vietnamese word segmentation, part-of-speech (POS) tagging and dependency parsing. In particular, our model extends the BIS…
Improving Topic Models with Latent Feature Word Representations
Dat Quoc Nguyen, Richard Billingsley, Lan Du +1
Probabilistic topic models are widely used to discover latent topics in document collections, while latent feature vector representations of words have been used to obtain high per…
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition
Zenan Zhai, Dat Quoc Nguyen, Karin Verspoor
We compare the use of LSTM-based and CNN-based character-level word embeddings in BiLSTM-CRF models to approach chemical and disease named entity recognition (NER) tasks. Empirical…
An improved neural network model for joint POS tagging and dependency parsing
Dat Quoc Nguyen, Karin Verspoor
We propose a novel neural network model for joint part-of-speech (POS) tagging and dependency parsing. Our model extends the well-known BIST graph-based dependency parser (Kiperwas…
jLDADMM: A Java package for the LDA and DMM topic models
Dat Quoc Nguyen
In this technical report, we present jLDADMM---an easy-to-use Java toolkit for conventional topic models. jLDADMM is released to provide alternatives for topic modeling on normal o…
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +2
In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object). Our CapsE represents each triple…
From POS tagging to dependency parsing for biomedical event extraction
Dat Quoc Nguyen, Karin Verspoor
Background: Given the importance of relation or event extraction from biomedical research publications to support knowledge capture and synthesis, and the strong dependency of appr…
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen, Karin Verspoor
We investigate the incorporation of character-based word representations into a standard CNN-based relation extraction model. We experiment with two common neural architectures, CN…
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu +3
This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony detection in English tweets". We propose to use a simple neural network architecture of Multilayer Perceptron…
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen +2
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) tasks inc…