Foundations and Trends in Information Retrieval Vol. 5, Nos. 2–3 (2011) 103–233Contents:Introduction
Types of Summaries
How do Summarization Systems Work?
Evaluation Issues
Where Does Summarization Help?
Article OverviewSentence Extraction: Determining Importance
Unsupervised Data-driven Methods
Machine Learning for Summarization
Sentence Selection vs. Summary Selection
Sentence Selection for Query-focused Summarization
DiscussionMethods Using Semantics and Discourse
Lexical Chains and Related Approaches
Latent Semantic Analysis
Coreference Information
Rhetorical Structure Theory
Discourse-motivated Graph Representations of Text
DiscussionGeneration for Summarization
Sentence Compression
Information Fusion
Context Dependent Revisions
Information Ordering
DiscussionGenre and Domain Specific Approaches
Medical Summarization
Journal Article Summarization in Non-medical Domains
Email
Web Summarization
Summarization of Speech
DiscussionIntrinsic Evaluation
Precision and Recall
Relative Utility
DUC Manual Evaluation
Automatic Evaluation and ROUGE
Pyramid Method
Linguistic Quality Evaluation
Intrinsic Evaluation for Speech SummarizationConclusions
