First Story Detection

In this paper, we explore the effects of data fusion on First Story Detection [1] in a broadcast news domain. The data fusion element of this experiment involves the combination …...

First story detection (FSD) involves identify- ing first stories about events from a continuous stream of documents. A major problem in this task is the high degree of lexical variation …...

First Story Detection is hard because the most accurate systems become pro- gressively slower with each document processed. We present a novel ap- proach to FSD, which operates in constant …...

AbstractThe current state of the art for First Story Detection (FSD) are nearest neighbour-based models with traditional term vector representations; however, one challenge faced by FSD models is that the …...