In this paper we investigate a structured model for jointly classifying the sentiment of text at varying levels of granularity. Inference in the model is based on standard sequenc...
Ryan T. McDonald, Kerry Hannan, Tyler Neylon, Mike...
The paper presents a contribution to image indexing consisting in a weighting model for visible objects – or image objects – in home photographs. To improve its effectiveness ...
Abstract. This text motivates and de nes a generic model for interactive online or o ine product catalogs. Based on a detailed requirements analysis, the data model is de ned usi...
In this paper we present methods for improving the disambiguation of noun phrase (NP) coordination within the framework of a lexicalised history-based parsing model. As well as re...
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...