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20142025
most citedA Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

892 citations · 1.1k across the 23 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 22 cited

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…

cs.CL2019★ 1 cited

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…

cs.IR2019★ 11 cited

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…

cs.LG2019

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…

cs.LG2019★ 5 cited

Universal Graph Transformer Self-Attention Networks

Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung

We introduce a transformer-based GNN model, named UGformer, to learn graph representations. In particular, we present two UGformer variants, wherein the first variant (publicized i…

cs.CL2019

A Relational Memory-based Embedding Model for Triple Classification and Search Personalization

Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung

Knowledge graph embedding methods often suffer from a limitation of memorizing valid triples to predict new ones for triple classification and search personalization problems. To t…