activity
20142023
most citedA Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

892 citations · 1.5k across the 38 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.CL2021★ 2 cited

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…

cs.CL2021

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…

cs.CL2021★ 6 cited

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.…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021★ 2 cited

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…