We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
Sentence Similarity is the process of computing a similarity score between two sentences. Previous sentence similarity work finds that latent semantics approaches to the problem ...
Procurement for e-Government is an important part of activities which are similar to the nature of B2B. That is usually characterized by bulk volumes with complex variables, burea...
In order to understand some problems associated with workflow, we set out an analysis of workflow systems, identifying a number of basic issues in the underlying technology. This ...
Paul Dourish, Jim Holmes, Allan MacLean, Pernille ...