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 summarizer achieves higher evaluation scores by adapting to the given evaluation metrics.

• Type: Conference
• Year: 2006
• Where: FLAIRS
• Authors: Zhuli Xie, Barbara Di Eugenio, Peter C. Nelson
• Keywords: Artificial Intelligence, Evaluation Metrics, Extractive Summarization, FLAIRS 2006