In this work, we try a hybrid methodology for language modeling where both morphological decomposition and factored language modeling (FLM) are exploited to deal with the complex ...
We propose CMSMs, a novel type of generic compositional models for syntactic and semantic aspects of natural language, based on matrix multiplication. We argue for the structural ...
This paper studies online quality measurement in cloud computing environment. The paper analyzes concentration measure evaluation method of the current software quality evaluation...
Zhenyu Liu, Tiejiang Liu, Tun Lu, Lizhi Cai, Genxi...
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
We show that unsupervised part of speech tagging performance can be significantly improved using likely substitutes for target words given by a statistical language model. We choo...