The tutorial provides an overview of the latest developments in automatic summarization. It begins with an overview of summarization terminology and architecture concepts, and then examines human abstracting and its influence on automated summarization. The tutorial next describes a variety of linguistic and statistical methods for producing extracts and abstracts, with an emphasis on empirical results. Multidocument and multilingual summarization are then discussed, followed by an overview of research on language models for summarization. The tutorial concludes with a discussion of existing evaluation methods and results.

Inderjeet Mani is a Senior Principal Scientist at The MITRE Corporation and an adjunct faculty in computational linguistics at Georgetown University. His books include Automatic Summarization and (co-edited with Mark Maybury) Advances in Automatic Text Summarization. He has been a Principal Investigator on projects in summarization, temporal information extraction, and information retrieval funded by NSF, DARPA, and MITRE.