This paper describes a text normalization system for deletion-based abbreviations in informal text. We propose using statistical classifiers to learn the probability of deleting ...
A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beli...
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Abstract. This paper presents a systematic consideration of the major issues involved in translation of executable design level software specification languages to directly model-c...
Fei Xie, Vladimir Levin, Robert P. Kurshan, James ...