In this paper, we describe methods to exploit search queries mined from search engine query logs to improve domain detection in spoken language understanding. We propose extending...
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
Blocked-execution multiprocessor architectures continuously run atomic blocks of instructions — also called Chunks. Such architectures can boost both performance and software pr...
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
If you have ever encountered a piece of highly domain-specific business software, you may have noticed that it was largely a graphical front-end to some relational database. You ...