Search Results for author:
Found 29 papers, 18 papers with code
Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models
Automatically locating a bug within a large codebase remains a significant challenge for developers.
Two-view Graph Neural Networks for Knowledge Graph Completion
WGE also constructs another single undirected graph from relation-focused constraints, which views entities and relations as nodes.
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Identifying vulnerabilities in the source code is essential to protect the software systems from cyber security attacks.
Automatic Post-Editing for Vietnamese
Automatic post-editing (APE) is an important remedy for reducing errors of raw translated texts that are produced by machine translation (MT) systems or software-aided translation.
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
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 completion (i. e., link prediction).
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
We propose a simple yet effective embedding model to learn quaternion embeddings for entities and relations in knowledge graphs.
Quaternion Graph Neural Networks
As demonstrated, the Quaternion space, a hyper-complex vector space, provides highly meaningful computations and analogical calculus through Hamilton product compared to the Euclidean and complex vector spaces.
A Self-Attention Network based Node Embedding Model
Despite several signs of progress have been made recently, limited research has been conducted for an inductive setting where embeddings are required for newly unseen nodes -- a setting encountered commonly in practical applications of deep learning for graph networks.
A Vietnamese Question Answering System
Question answering systems aim to produce exact answers to users' questions instead of a list of related documents as used by current search engines.
A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
Search engines have become an indispensable tool for browsing information on the Internet.
A Vietnamese Text-Based Conversational Agent
This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system.
A Capsule Network-based Model for Learning Node Embeddings
In this paper, we focus on learning low-dimensional embeddings for nodes in graph-structured data.
Ranked #55 on
Node Classification
on Pubmed
Universal Graph Transformer Self-Attention Networks
The transformer self-attention network has been extensively used in research domains such as computer vision, image processing, and natural language processing.
Ranked #1 on
Graph Classification
on IMDb-M
Unsupervised Universal Self-Attention Network for Graph Classification
Thus, U2GAN can address the weaknesses in the existing models in order to produce plausible node embeddings whose sum is the final embedding of the whole graph.
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
Knowledge graph embedding methods often suffer from a limitation of memorizing valid triples to predict new ones for triple classification and search personalization problems.
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 capsule network to model relationship triples (subject, relation, object).
Ranked #41 on
Link Prediction
on WN18RR
A Capsule Network-based Embedding Model for Search Personalization
After that, the 3-column matrix is fed into a deep learning architecture to re-rank the search results returned by a basis ranker.
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 detection in English tweets".
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese.
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
This 3-column matrix is then fed to a convolution layer where multiple filters are operated on the matrix to generate different feature maps.
Ranked #59 on
Link Prediction
on WN18RR
From Word Segmentation to POS Tagging for Vietnamese
This paper presents an empirical comparison of two strategies for Vietnamese Part-of-Speech (POS) tagging from unsegmented text: (i) a pipeline strategy where we consider the output of a word segmenter as the input of a POS tagger, and (ii) a joint strategy where we predict a combined segmentation and POS tag for each syllable.
A Fast and Accurate Vietnamese Word Segmenter
We propose a novel approach to Vietnamese word segmentation.
Sequence to Sequence Learning for Event Prediction
This paper presents an approach to the task of predicting an event description from a preceding sentence in a text.
A Mixture Model for Learning Multi-Sense Word Embeddings
Our model generalizes the previous works in that it allows to induce different weights of different senses of a word.
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 transformation rules for the Part-of-Speech (POS) tagging task.
Ripple Down Rules for Question Answering
Recent years have witnessed a new trend of building ontology-based question answering systems.
