In this paper, we introduce a novel GNN-based knowledge graph embedding
...
Identifying vulnerabilities in the source code is essential to protect t...
Automatic post-editing (APE) is an important remedy for reducing errors ...
We introduce a novel embedding model, named NoKE, which aims to integrat...
We propose a simple and effective embedding model, named QuatRE, to lear...
We consider reducing model parameters and moving beyond the Euclidean sp...
Despite several signs of progress have been made recently, limited resea...
This paper introduces a Vietnamese text-based conversational agent
archi...
Search engines have become an indispensable tool for browsing informatio...
Question answering systems aim to produce exact answers to users' questi...
In this paper, we focus on learning low-dimensional embeddings of entity...
Existing graph embedding models often have weaknesses in exploiting grap...
Knowledge graph embedding models often suffer from a limitation of
remem...
In this paper, we introduce an embedding model, named CapsE, exploring a...
Search personalization aims to tailor search results to each specific us...
This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony
de...
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NL...
We introduce a novel embedding method for knowledge base completion task...
This paper presents an empirical comparison of two strategies for Vietna...
We propose a novel approach to Vietnamese word segmentation. Our approac...
This paper presents an approach to the task of predicting an event
descr...
Word embeddings are now a standard technique for inducing meaning
repres...
Recent years have witnessed a new trend of building ontology-based quest...
In this paper, we propose a new approach to construct a system of
transf...