Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
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...
Human interaction occurs always in a specific context and in a particular environment, and a common knowledge base about them is essential for understanding each other. By immersi...
The goal of this paper is to analyse semantics of algorithms with explicit continuous time with further aim to nd approaches to automatize model checking in high level, easily unde...