In this paper, we propose a method to jointly model and exploit the context compatibility, the topic coherence and the correlation between them for better EL performance.
we propose a generative probabilistic model -called entity-topic model, which can uniformly model the text compatibility and the topic coherence as the statistical dependencies between the mentions, the words, the underlying entities and the underlying topics of a document by assuming that each document is generated according to the following two assumptions: 1) Topic coherence assumption: All entities in a document should be centered around the main topics of the document.