A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification
Table 4: Results of our model and state-of-the-art systems. COPYNET incorporates copying mechanism to solve out-of-vocabulary problem, so its has higher ROUGE scores. Our model does not incorporate this mechanism currently. In the future work, we will implement this technique to further improve the performance. The results are reported on the test sets. (Word: Word level; Char: Character level; R-1: F-score of ROUGE-1; R-2: F-score of ROUGE-2; R-L: F-score of ROUGE-L)
['Model', 'ROUGE-1', 'ROUGE-2', 'ROUGE-L']
COPYNET has the highest scores, because it incorporates copying mechanism to deals with out-of-vocabulary word problem. In this paper, we do not implement this mechanism in our model. Our model can also be improved with these additional techniques, which, however, are not the focus of this paper.