Research in natural language generation promises significant advances in the ways in which we can make available the contents of underlying information sources. Most work in the f...
Robert Dale, Stephen J. Green, Maria Milosavljevic...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
The formal description of the semantics of object-oriented data models is still an open problem. Some characteristic features of object-oriented data models, such as methods and i...
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
We develop a generic method for the review matching problem, which is to match unstructured text reviews to a list of objects, where each object has a set of attributes. To this e...
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomki...