This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
Interconnect architecture is a primary research issue for emerging many-core processors. Packet switched Networks-on-Chip (NoCs) are considered key to success but since they delive...
Abstract. We investigate layered composition for real-time systems modelled as (networks of) timed automata (TA). We first formulate the principles of layering and transition indep...
Researchers in embedded and reconfigurable computing are often hindered by a lack of suitable benchmarks with which to accurately evaluate their work. Without a suitable benchmark ...
Daniel W. Chang, Christipher D. Jenkins, Philip C....