Bayesian Query-Focused Summarization

Details Bayesian Query-Focused Summarization Bayesian Query-Focused Summarization

2009-07-10

arxiv.org/abs/0907.1814v1

ACL 2006

Computer Science

Computation and Language

Scientific paper

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. Furthermore, we show how BayeSum can be understood as a justified query expansion technique in the language modeling for IR framework.

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