We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Provability-based semantic interoperability (PBSI) is a kind of interoperability that transcends mere syntactic translation to allow for robust, meaningful information exchange acr...
Joshua Taylor, Andrew Shilliday, Selmer Bringsjord
Background: The genomes of an increasing number of species are being investigated through generation of expressed sequence tags (ESTs). However, ESTs are prone to sequencing error...
We are interested in developing a better understanding of what it is that students find difficult in learning logic. We use both natural language and diagram-based methods for teac...
Richard Cox, Robert Dale, John Etchemendy, Dave Ba...