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Entity Search is a search paradigm that aims to retrieve entities and all the information related to them. In the last few years the importance of this topic has become greater and greater due to the fact that 40% of the queries made by users mention specific entities nowdays.
This talk wants to give a first overview of the state-of-the-art methods used for entities retrieval and then describe the new approach Anna has implemented and proposed in her master thesis. The novelty introduced with this work exploits two machine learning techniques: neural network and clustering.