Bayesian Query-Focused Summarization

Understand

We present BayeSum (for ``Bayesian summarization''), a model for sentence extraction in query-focused summarization.

• BayeSum leverages the common case in which multiple documents are relevant to a single query.
• Using these documents as reinforcement for query terms, BayeSum is not afflicted by the paucity of information in short queries.
• We show that approximate inference in BayeSum is possible on large data sets and results in a state-of-the-art summarization system.