This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is...
We present a new statistical compression method, which we call Phrase Based Dense Code (PBDC), aimed at compressing large digital libraries. PBDC compresses the text collection to ...
We present a quasi-synchronous dependency grammar (Smith and Eisner, 2006) for machine translation in which the leaves of the tree are phrases rather than words as in previous wor...
In this paper, we will address term translation extraction from indexed aligned parallel corpora, by using a couple of association measures combined by a voting scheme, for scaling...
In this paper, we propose a method for identifying and ranking possible categories of any user query based on the meanings and common usages of the terms and phrases within the que...
Reza Taghizadeh Hemayati, Weiyi Meng, Clement T. Y...