Moving objects are currently represented in databases by means of an explicit representation of their trajectory. However from a physical point of view, or more specifically accor...
We propose a distribution-based pruning of n-gram backoff language models. Instead of the conventional approach of pruning n-grams that are infrequent in training data, we prune n...
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...
Modeling and analysis is indispensable in engineering. To be safe and effective, a modeling method requires a language with a validated semantics; feature-rich, easy-to-use, depen...
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...