And their experiments show that leveraging the answer summaries helps to attend the essential information in original lengthy answers and improve the answer selection performance under certain circumstances.
“Who said what” is essential for users to understand video streams that have more than one speaker, but conventional simultaneous interpretation systems merely present “what was said” in the form of subtitles.
Deep learning (DL) shows its prosperity in a wide variety of fields.
Deformable image registration plays a critical role in various tasks of medical image analysis.
To this end, we explore a generic program embedding approach that aim at solving multiple program analysis tasks.
To this end, we propose a learning-aided approach to identify unnecessary memory operations intelligently with low overhead.
This paper presents an open-source enforcement learning toolkit named CytonRL (https://github. com/arthurxlw/cytonRL).
This paper presents an open-source neural machine translation toolkit named CytonMT (https://github. com/arthurxlw/cytonMt).
Simultaneous interpretation is a very challenging application of machine translation in which the input is a stream of words from a speech recognition engine.
Simultaneous interpretation allows people to communicate spontaneously across language boundaries, but such services are prohibitively expensive for the general public.