Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization

@inproceedings{Ghalandari2017RevisitingTC,
  title={Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization},
  author={Demian Gholipour Ghalandari},
  booktitle={NFiS@EMNLP},
  year={2017}
}
The centroid-based model for extractive document summarization is a simple and fast baseline that ranks sentences based on their similarity to a centroid vector. In this paper, we apply this ranking to possible summaries instead of sentences and use a simple greedy algorithm to find the best summary. Furthermore, we show possi- bilities to scale up to larger input docu- ment collections by selecting a small num- ber of sentences from each document prior to constructing the summary. Experiments… Expand
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