In this paper, we propose a novel framework for extractive summarization. Our framework allows the summarizer to adapt and improve itself. Experimental results show that our summa...
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
Accommodating learning styles in adaptive educational systems represents an important step towards providing individualized instruction. The paper summarizes the main results repo...
A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use ...
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...