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This paper presents a novel story construction system to track the evolutionof stories in an online fashion. The proposed system uses a novel slidingwindow solution, named Inching Window, allowing the processing of each new dataelement on-the-fly. To assign a new data element into a community in a fast andmemory-efficient manner, we apply the modularity maximization idea of Louvainmethod on-the-fly. As part of the experimental validation, we provide step bystep construction of a meaningful news story and support the case with a set ofvisualizations.

Automatic Story Construction from News Articles in an Online Fashion