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CIKM
2007
Springer

Leveraging context in user-centric entity detection systems

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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...
Vadim von Brzeski, Utku Irmak, Reiner Kraft
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIKM
Authors Vadim von Brzeski, Utku Irmak, Reiner Kraft
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