Effective extraction of query relevant information present within documents on the web is a nontrivial task. In this paper we present our system called QueSTS, which does the abov...
M. Sravanthi, C. Ravindranath Chowdary, P. Sreeniv...
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Abstract. This paper discusses an approach to topic-oriented multidocument summarization. It investigates the effectiveness of using additional information about the document set ...
We propose a new document summarization algorithm which is personalized. The key idea is to rely on the attention (reading) time of individual users spent on single words in a doc...
We describe iNeATS – an interactive multi-document summarization system that integrates a state-of-the-art summarization engine with an advanced user interface. Three main goals...