Text summarization aims at compressing long documents into a shorter form that conveys
the most important parts of the original document. Despite increased interest in the …

Charts are very popular for analyzing data, visualizing key insights and answering complex
reasoning questions about data. To facilitate chart-based data analysis using natural …

The rapid growth of machine translation (MT) systems necessitates meta-evaluations of
evaluation metrics to enable selection of those that best reflect MT quality. Unfortunately …

Modern code review is a critical quality assurance process that is widely adopted in both
industry and open source software environments. This process can help newcomers learn …

This paper presents the results of the shared tasks from the 3rd workshop on Asian
translation (WAT2016) including J↔ E, J↔ C scientific paper translation subtasks, C↔ J …

Automatic machine translation is gaining more and more attention in a particular segment of
the research community that treats various topics from artificial intelligence, natural …

The process of designing neural architectures requires expert knowledge and extensive trial
and error. While automated architecture search may simplify these requirements, the …

The rapid growth of machine translation (MT) systems has necessitated comprehensive
studies to meta-evaluate evaluation metrics being used, which enables a better selection of …

The conversion of content from one language to another utilizing a computer system is
known as Machine Translation (MT). Various techniques have come up to ensure effective …

While many new automatic metrics for machine translation evaluation have been proposed
in recent years, BLEU scores are still used as the primary metric in the vast majority of MT …