We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
Krysta Marie Svore, Lucy Vanderwende, Christopher ...
This paper discusses passage extraction approaches to multidocument summarization that use available information about the document set as a whole and the relationships between th...
Jade Goldstein, Vibhu O. Mittal, Jaime G. Carbonel...
Many of the existing machine-learning approaches to speech summarization cast important sentence selection as a two-class classification problem and have shown empirical success f...
Access to information via handheld devices supports decision making away from one's computer. However, limitations include small screens and constrained wireless bandwidth. W...
There has been a great amount of work on query-independent summarization of documents. However, due to the success of Web search engines query-specific document summarization (que...