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12/16/2021
Two-view Graph Neural Networks for Knowledge Graph Completion
In this paper, we introduce a novel GNN-based knowledge graph embedding ...
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10/14/2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Identifying vulnerabilities in the source code is essential to protect t...
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04/25/2021
Automatic Post-Editing for Translating Chinese Novels to Vietnamese
Automatic post-editing (APE) is an important remedy for reducing errors ...
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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...
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09/26/2020
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
We propose a simple and effective embedding model, named QuatRE, to lear...
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08/12/2020
Quaternion Graph Neural Networks
We consider reducing model parameters and moving beyond the Euclidean sp...
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06/22/2020
A Self-Attention Network based Node Embedding Model
Despite several signs of progress have been made recently, limited resea...
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11/26/2019
A Vietnamese Text-Based Conversational Agent
This paper introduces a Vietnamese text-based conversational agent archi...
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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...
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11/26/2019
A Vietnamese Question Answering System
Question answering systems aim to produce exact answers to users' questi...
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11/12/2019
A Capsule Network-based Model for Learning Node Embeddings
In this paper, we focus on learning low-dimensional embeddings of entity...
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09/26/2019
Unsupervised Universal Self-Attention Network for Graph Classification
Existing graph embedding models often have weaknesses in exploiting grap...
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07/13/2019
Relational Memory-based Knowledge Graph Embedding
Knowledge graph embedding models often suffer from a limitation of remem...
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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...
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04/12/2018
A Capsule Network-based Embedding Model for Search Personalization
Search personalization aims to tailor search results to each specific us...
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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...
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01/04/2018
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NL...
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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...
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11/14/2017
From Word Segmentation to POS Tagging for Vietnamese
This paper presents an empirical comparison of two strategies for Vietna...
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09/19/2017
A Fast and Accurate Vietnamese Word Segmenter
We propose a novel approach to Vietnamese word segmentation. Our approac...
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09/18/2017
Sequence to Sequence Learning for Event Prediction
This paper presents an approach to the task of predicting an event descr...
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06/15/2017
A Mixture Model for Learning Multi-Sense Word Embeddings
Word embeddings are now a standard technique for inducing meaning repres...
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12/12/2014
Ripple Down Rules for Question Answering
Recent years have witnessed a new trend of building ontology-based quest...
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12/12/2014
