Comparing Semantic Models for Evaluating Automatic Document Summarization

@inproceedings{Campr2015ComparingSM,
  title={Comparing Semantic Models for Evaluating Automatic Document Summarization},
  author={Michal Campr and Karel Jezek},
  booktitle={TSD},
  year={2015}
}
The main focus of this paper is the examination of semantic modelling in the context of automatic document summarization and its evaluation. The main area of our research is extractive summarization, more specifically, contrastive opinion summarization. And as it is with all summarization tasks, the evaluation of their performance is a challenging problem on its own. Nowadays, the most commonly used evaluation technique is ROUGE (Recall-Oriented Understudy for Gisting Evaluation). It includes… CONTINUE READING
BETA

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 22 CITATIONS

Similar Papers

Loading similar papers…