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» Adaptive Learning in Machine Summarization
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FLAIRS
2006
13 years 6 months ago
Adaptive Learning in Machine Summarization
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...
Zhuli Xie, Barbara Di Eugenio, Peter C. Nelson
ACL
1998
13 years 6 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
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...
ICALT
2007
IEEE
13 years 11 months ago
Towards a Unified Learning Style Model in Adaptive Educational Systems
Accommodating learning styles in adaptive educational systems represents an important step towards providing individualized instruction. The paper summarizes the main results repo...
Elvira Popescu, Philippe Trigano, Costin Badica
AAAI
1998
13 years 6 months ago
Machine Learning of Generic and User-Focused Summarization
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 ...
Inderjeet Mani, Eric Bloedorn
AI
2010
Springer
13 years 9 months ago
Supervised Machine Learning for Summarizing Legal Documents
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...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme