Technology Opportunities

Semantic relatedness is the quantification of the intensity with which two objects are related to each other. In recent years, the problem of automatically determining semantic relatedness has been steadily gaining attention among statistical natural language processing and artificial intelligence researchers. This method is a novel structure-free supervised approach to learning semantic relatedness from examples. With this model, semantic relatedness learning is treated as a binary classification problem where each instance encodes the relative relatedness of two term pairs.