We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation
pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) …

News articles serve the purpose of spreading company's information to the investors either
consciously or unconsciously in their trading strategies on the stock market. Because of the …

Abstract Part-of-speech (POS) tagging is a fundamental task in natural language processing
(NLP). A robust POS tagger plays an important role in most NLP problems and applications …

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 …

Textual emotion recognition has been a promising research topic in recent years. Many
researchers aim to build more accurate and robust emotion detection systems. In this paper …

In this paper, we examined the effects of financial news on Ho Chi Minh Stock Exchange
(HoSE) and we tried to predict the direction of VN30 Index after the news articles were …

In this paper, we describe the development of an end-to-end factoid question answering
system for the Vietnamese language. This system combines both statistical models and …

This paper demonstrates neural network-based toolkit namely NNVLP for essential
Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking …

This paper deals with the task of part-of-speech (POS) tagging for Vietnamese social media
text, which poses several challenges compared with tagging for conventional text. We …

This paper introduces a semantics-aware approach to natural language inference which
allows neural network models to perform better on natural language inference benchmarks …