Leveraging context in user-centric entity detection systems

A user-centric entity detection system is one in which the primary consumer of the detected entities is a person who can perform actions on the detected entities (e.g. perform a search, view a map, shop, etc.). We contrast this with machine-centric detection systems where the primary consumer of the detected entities is a machine. Machine-centric detection systems typically focus on the quantity of detected entities, measured by precision and recall metrics, with the goal of correctly identifying every single entity in a document. However, the simple precision/recall scores of machinecentric entity detection systems fail to accurately reflect the quality of detected entities in user-centric systems, where users may not necessarily want to “see” every possible entity. We posit that not all of the detected entities in a given piece of text are necessarily relevant to the main topic of the text, nor are they necessarily interesting enough to the user to warrant further action. In fa...

• Type: Conference
• Year: 2007
• Where: CIKM
• Authors: Vadim von Brzeski, Utku Irmak, Reiner Kraft
• Keywords: CIKM 2007, Detection Systems, Entities, User-centric Entity Detection