Paper: Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction

ACL ID D13-1127
Title Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

The rapid development of Web2.0 leads to significant information redundancy. Espe- cially for a complex news event, it is diffi- cult to understand its general idea within a single coherent picture. A complex event of- ten contains branches, intertwining narratives and side news which are all called storylines. In this paper, we propose a novel solution to tackle the challenging problem of storylines extraction and reconstruction. Specifically, we first investigate two requisite properties of an ideal storyline. Then a unified algorithm is devised to extract all effective storylines by optimizing these properties at the same time. Finally, we reconstruct all extracted lines and generate the high-quality story map. Exper- iments on real-world datasets show that our method is quite efficient...