Dat Quoc Nguyen

research

∙ 05/31/2023

XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech

We present XPhoneBERT, the first multilingual model pre-trained to learn...

0 Linh The Nguyen, et al. ∙

research

∙ 10/17/2022

Joint Multilingual Knowledge Graph Completion and Alignment

Knowledge graph (KG) alignment and completion are usually treated as two...

0 Vinh Tong, et al. ∙

research

∙ 09/17/2022

From Disfluency Detection to Intent Detection and Slot Filling

We present the first empirical study investigating the influence of disf...

0 Mai Hoang Dao, et al. ∙

research

∙ 08/08/2022

A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation

In this paper, we introduce a high-quality and large-scale benchmark dat...

0 Linh The Nguyen, et al. ∙

research

∙ 12/16/2021

Two-view Graph Neural Networks for Knowledge Graph Completion

In this paper, we introduce a novel GNN-based knowledge graph embedding ...

0 Vinh Tong, et al. ∙

research

∙ 10/23/2021

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

We introduce a high-quality and large-scale Vietnamese-English parallel ...

0 Long Doan, et al. ∙

research

∙ 09/20/2021

BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese

We present BARTpho with two versions – BARTpho_word and BARTpho_syllable...

0 Nguyen Luong Tran, et al. ∙

research

∙ 04/15/2021

Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction

We introduce a novel embedding model, named NoKE, which aims to integrat...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 04/08/2021

COVID-19 Named Entity Recognition for Vietnamese

The current COVID-19 pandemic has lead to the creation of many corpora t...

0 Thinh Hung Truong, et al. ∙

research

∙ 04/05/2021

Intent detection and slot filling for Vietnamese

Intent detection and slot filling are important tasks in spoken and natu...

0 Mai Hoang Dao, et al. ∙

research

∙ 01/05/2021

PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing

We present the first multi-task learning model – named PhoNLP – for join...

0 Linh The Nguyen, et al. ∙

research

∙ 10/16/2020

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

In this paper, we provide an overview of the WNUT-2020 shared task on th...

5 Dat Quoc Nguyen, et al. ∙

research

∙ 10/05/2020

A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese

Semantic parsing is an important NLP task. However, Vietnamese is a low-...

8 Anh Tuan Nguyen, et al. ∙

research

∙ 07/13/2020

A Label Attention Model for ICD Coding from Clinical Text

ICD coding is a process of assigning the International Classification of...

0 Thanh Vu, et al. ∙

research

∙ 05/20/2020

BERTweet: A pre-trained language model for English Tweets

We present BERTweet, the first public large-scale pre-trained language m...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 03/02/2020

PhoBERT: Pre-trained language models for Vietnamese

We present PhoBERT with two versions of "base" and "large"–the first pub...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 11/26/2019

A Vietnamese information retrieval system for product-price

A price information retrieval (IR) system allows users to search and vie...

0 Tien-Thanh Vu, et al. ∙

research

∙ 11/26/2019

A Vietnamese Text-Based Conversational Agent

This paper introduces a Vietnamese text-based conversational agent archi...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 11/26/2019

A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page

Search engines have become an indispensable tool for browsing informatio...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 11/26/2019

A Vietnamese Question Answering System

Question answering systems aim to produce exact answers to users' questi...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 11/12/2019

A Capsule Network-based Model for Learning Node Embeddings

In this paper, we focus on learning low-dimensional embeddings of entity...

31 Dai Quoc Nguyen, et al. ∙

research

∙ 07/05/2019

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Chemical patents are an important resource for chemical information. How...

0 Zenan Zhai, et al. ∙

research

∙ 12/30/2018

A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing

We propose the first joint model for Vietnamese word segmentation, part-...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 12/29/2018

End-to-end neural relation extraction using deep biaffine attention

We propose a neural network model for joint extraction of named entities...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 10/15/2018

Improving Topic Models with Latent Feature Word Representations

Probabilistic topic models are widely used to discover latent topics in ...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 08/25/2018

Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition

We compare the use of LSTM-based and CNN-based character-level word embe...

0 Zenan Zhai, et al. ∙

research

∙ 08/13/2018

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

In this paper, we introduce an embedding model, named CapsE, exploring a...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 08/11/2018

jLDADMM: A Java package for the LDA and DMM topic models

In this technical report, we present jLDADMM---an easy-to-use Java toolk...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 08/11/2018

From POS tagging to dependency parsing for biomedical event extraction

Given the importance of relation or event extraction from biomedical res...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 07/11/2018

An improved neural network model for joint POS tagging and dependency parsing

We propose a novel neural network model for joint part-of-speech (POS) t...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 05/27/2018

Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings

We investigate the incorporation of character-based word representations...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 04/02/2018

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter

This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony de...

0 Thanh Vu, et al. ∙

research

∙ 01/04/2018

VnCoreNLP: A Vietnamese Natural Language Processing Toolkit

We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NL...

0 Thanh Vu, et al. ∙

research

∙ 12/06/2017

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

We introduce a novel embedding method for knowledge base completion task...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 11/14/2017

From Word Segmentation to POS Tagging for Vietnamese

This paper presents an empirical comparison of two strategies for Vietna...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 09/19/2017

A Fast and Accurate Vietnamese Word Segmenter

We propose a novel approach to Vietnamese word segmentation. Our approac...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 09/18/2017

Sequence to Sequence Learning for Event Prediction

This paper presents an approach to the task of predicting an event descr...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 06/15/2017

A Mixture Model for Learning Multi-Sense Word Embeddings

Word embeddings are now a standard technique for inducing meaning repres...

0 Dai Quoc Nguyen, et al. ∙

research

∙ 05/16/2017

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

We present a novel neural network model that learns POS tagging and grap...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 03/23/2017

An overview of embedding models of entities and relationships for knowledge base completion

Knowledge bases of real-world facts about entities and their relationshi...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 12/12/2016

Search Personalization with Embeddings

Recent research has shown that the performance of search personalization...

0 Thanh Vu, et al. ∙

research

∙ 11/03/2016

An empirical study for Vietnamese dependency parsing

This paper presents an empirical comparison of different dependency pars...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 06/27/2016

STransE: a novel embedding model of entities and relationships in knowledge bases

Knowledge bases of real-world facts about entities and their relationshi...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 06/21/2016

Neighborhood Mixture Model for Knowledge Base Completion

Knowledge bases are useful resources for many natural language processin...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 12/12/2014

Ripple Down Rules for Question Answering

Recent years have witnessed a new trend of building ontology-based quest...

0 Dat Quoc Nguyen, et al. ∙

research

∙ 12/12/2014

A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging

In this paper, we propose a new approach to construct a system of transf...

0 Dat Quoc Nguyen, et al. ∙

Dat Quoc Nguyen

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