The success of data mixing augmentations in image classification tasks h...
In this work, we propose a novel and scalable solution to address the
ch...
Automatic post-editing (APE) is an important remedy for reducing errors ...
Despite remarkable improvements in speed and accuracy, convolutional neu...
In this paper, we present an interactive probabilistic framework for a m...
In this paper, we provide an overview of the WNUT-2020 shared task on th...
We propose a simple and effective embedding model, named QuatRE, to lear...
The paper describes the organisation of the "HateSpeech Detection" (HSD)...
ICD coding is a process of assigning the International Classification of...
We present BERTweet, the first public large-scale pre-trained language m...
We present a versatile formulation of the convolution operation that we ...
In this paper, we introduce a comprehensive toolkit, ETNLP, which can
ev...
In this paper, we introduce an embedding model, named CapsE, exploring a...
Face images are one of the main areas of focus for computer vision, rece...
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...
This paper presents an empirical comparison of two strategies for Vietna...
We propose a novel approach to Vietnamese word segmentation. Our approac...
Recent research has shown that the performance of search personalization...