Paper: Trainable Scalable Summarization Using Robust NLP and Machine Learning

ACL ID P98-1009
Title Trainable Scalable Summarization Using Robust NLP and Machine Learning
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

We describe a trainable and scalable sum- marization system which utilizes features derived from information retrieval, infor- mation extraction, and NLP techniques and on-line resources. The system com- bines these features using a trainable fea- ture combiner learned from summary ex- amples through a machine learning algo- rithm. We demonstrate system scalability by reporting results on the best combina- tion of summarization features for different document sources. We also present prelim- inary results from a task-based evaluation on summarization output usability.