It is a truism that for a machine to have a useful access to memory or workspace, it must "know" where its input ends and its working memory begins. Most machine models ...
The question of how meaning might be acquired by young children and represented by adult speakers of a language is one of the most debated topics in cognitive science. Existing se...
In this paper, we propose a novel dependency-based bracketing transduction grammar for statistical machine translation, which converts a source sentence into a target dependency t...
Jinsong Su, Yang Liu, Haitao Mi, Hongmei Zhao, Yaj...
Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...