Before revision:  If the budget can take any arbitrary value and not known beforehand , it becomes even more difficult. Most of the existing methods for abstractive summarization, including state-of-the-art neural networks are data intensive. If the number of available training samples becomes limited, they fail to construct high-quality summaries .
After revision:  If the budget can take any arbitrary value and not known beforehand .