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EMNLP
2006

A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance

11 years 2 months ago
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
We describe a probabilistic approach to content selection for meeting summarization. We use skipchain Conditional Random Fields (CRF) to model non-local pragmatic dependencies between paired utterances such as QUESTION-ANSWER that typically appear together in summaries, and show that these models outperform linear-chain CRFs and Bayesian models in the task. We also discuss different approaches for ranking all utterances in a sequence using CRFs. Our best performing system
Michel Galley
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where EMNLP
Authors Michel Galley
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