Summarization with Precise Length Control

The second, explicit sentence enumeration SentEnum, Controlling the length of the output is an important controls number of sentences. Both methods are aspect of text summarization, as the desired highly accurate and show improvements on Rouges length of the summary can vary depending on factors scores on two data-sets. Moreover, we jointly train such as the size of the input document and the the models to predict the optimal length of the summary level of detail required in the summary. For example, given the input document. So our models can a summary can range from a single sentence, handle cases where the input length is not provided providing a brief overview of the main topic or and it replaces the use length penalty during inference.