Entity Disambiguation based on a Probabilistic Taxonomy

This paper presents a method for entity disambiguation, one of the most substantial tasks for machines to understand text in natural languages. In a natural language, terms have ambiguity, e.g. “Barcelona” usually means a Spanish city but it can also refer to a professional football club. In our work, we utilize a probabilistic taxonomy that is as rich as… CONTINUE READING