Over the years, many Artificial Intelligence (AI) approaches have dealt with the diagnosis problem and its application in complex environments such as medical domains. Model-Based...
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Many applications call for methods to enable automatic extraction of structured information from unstructured natural language text. Due to inherent challenges of natural language ...
Abstract. In human relations engagement and continuous communication is promoted by the process of sharing experiences. This type of social behaviour plays an important role in the...
Motivated by a representational model for the cross-modal interaction between language and other modalities we present a framework for the integration of contextual information int...