In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summari...
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...
Abstract. In this paper we introduce a system that automatically summarizes multiple biomedical documents relevant to a question. The system extracts biomedical and general concept...
Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, ...
Automatic summarization systems usually are trained and evaluated in a particular domain with fixed data sets. When such a system is to be applied to slightly different input, la...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...