892 citations · 1.5k across the 38 of their papers we have counts for
46 papers
XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech
Linh The Nguyen, Thinh Pham, Dat Quoc Nguyen
We present XPhoneBERT, the first multilingual model pre-trained to learn phoneme representations for the downstream text-to-speech (TTS) task. Our XPhoneBERT has the same model arc…
Joint Multilingual Knowledge Graph Completion and Alignment
Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh +3
Knowledge graph (KG) alignment and completion are usually treated as two independent tasks. While recent work has leveraged entity and relation alignments from multiple KGs, such a…
From Disfluency Detection to Intent Detection and Slot Filling
Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen
We present the first empirical study investigating the influence of disfluency detection on downstream tasks of intent detection and slot filling. We perform this study for Vietnam…
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation
Linh The Nguyen, Nguyen Luong Tran, Long Doan +2
In this paper, we introduce a high-quality and large-scale benchmark dataset for English-Vietnamese speech translation with 508 audio hours, consisting of 331K triplets of (sentenc…
Two-view Graph Neural Networks for Knowledge Graph Completion
Vinh Tong, Dai Quoc Nguyen, Dinh Phung +1
We present an effective graph neural network (GNN)-based knowledge graph embedding model, which we name WGE, to capture entity- and relation-focused graph structures. Given a knowl…
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
Long Doan, Linh The Nguyen, Nguyen Luong Tran +2
We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine tr…
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
Nguyen Luong Tran, Duong Minh Le, Dat Quoc Nguyen
We present BARTpho with two versions, BARTpho-syllable and BARTpho-word, which are the first public large-scale monolingual sequence-to-sequence models pre-trained for Vietnamese.…
COVID-19 Named Entity Recognition for Vietnamese
Thinh Hung Truong, Mai Hoang Dao, Dat Quoc Nguyen
The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic. However, most of these c…
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Dai Quoc Nguyen, Vinh Tong, Dinh Phung +1
We introduce a novel embedding model, named NoGE, which aims to integrate co-occurrence among entities and relations into graph neural networks to improve knowledge graph completio…
Intent Detection and Slot Filling for Vietnamese
Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen
Intent detection and slot filling are important tasks in spoken and natural language understanding. However, Vietnamese is a low-resource language in these research topics. In this…
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
Linh The Nguyen, Dat Quoc Nguyen
We present the first multi-task learning model -- named PhoNLP -- for joint Vietnamese part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experime…
WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi +3
In this paper, we provide an overview of the WNUT-2020 shared task on the identification of informative COVID-19 English Tweets. We describe how we construct a corpus of 10K Tweets…
A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
Anh Tuan Nguyen, Mai Hoang Dao, Dat Quoc Nguyen
Semantic parsing is an important NLP task. However, Vietnamese is a low-resource language in this research area. In this paper, we present the first public large-scale Text-to-SQL…
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics
Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail
Inferring topological characteristics of complex networks from observed data is critical to understand the dynamical behavior of networked systems, ranging from the Internet and th…
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
We present BERTweet, the first public large-scale pre-trained language model for English Tweets. Our BERTweet, having the same architecture as BERT-base (Devlin et al., 2019), is t…
PhoBERT: Pre-trained language models for Vietnamese
Dat Quoc Nguyen, Anh Tuan Nguyen
We present PhoBERT with two versions, PhoBERT-base and PhoBERT-large, the first public large-scale monolingual language models pre-trained for Vietnamese. Experimental results show…
A Vietnamese Question Answering System
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
Question answering systems aim to produce exact answers to users' questions instead of a list of related documents as used by current search engines. In this paper, we propose an o…
A Vietnamese information retrieval system for product-price
Tien-Thanh Vu, Dat Quoc Nguyen
A price information retrieval (IR) system allows users to search and view differences among prices of specific products. Building product-price driven IR system is a challenging an…
A Vietnamese Text-Based Conversational Agent
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question a…
A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham +1
Search engines have become an indispensable tool for browsing information on the Internet. The user, however, is often annoyed by redundant results from irrelevant Web pages. One r…
A Capsule Network-based Model for Learning Node Embeddings
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen +1
In this paper, we focus on learning low-dimensional embeddings for nodes in graph-structured data. To achieve this, we propose Caps2NE -- a new unsupervised embedding model leverag…
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi +5
Chemical patents are an important resource for chemical information. However, few chemical Named Entity Recognition (NER) systems have been evaluated on patent documents, due in pa…
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…