Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
We present a novel model to represent and assess the discourse coherence of text. Our model assumes that coherent text implicitly favors certain types of discourse relation transi...
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
Repositories of multimedia objects having multiple types of attributes e.g., image, text are becoming increasingly common. A selection on these attributes will typically produce n...