Trainable, scalable summarization using robust NLP and machine learning

Chinatsu Aone, Mary Ellen Okurowski, James Gorlinsky
1998 Proceedings of the 36th annual meeting on Association for Computational Linguistics -  
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resources. The system combines these features using a trainable feature combiner learned from summary examples through a machine learning algorithm. We demonstrate system scalability by reporting results on the best combination of summarization features for different document sources. We also present preliminary results from
more » ... minary results from a task-based evaluation on summarization output usability.
doi:10.3115/980845.980856 dblp:conf/acl/AoneOG98 fatcat:hillyrwqqjccriasufi3lbxe5q