Temporal relation recognition method based on news event fragments

Abstract

Event fragments as the smallestr unit was defined and a two-stage event fragments temporal relation recognition algorithm was proposed.The first stage is sequential mapping and the second is sequence recognition.The real online data increased accuracy by 4% compared to common classifier and strong rule algorithm.

Keywords

• event fragments
• sequential mapping
• temporal relation reconition
• global optimization