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SUMMARY:NLP Reading Group: Large-margin Learning of Submodular Summarizati
 on methods - Helen Yannakoudakis (University of Cambridge)
DTSTART:20120301T120000Z
DTEND:20120301T130000Z
UID:TALK36756@talks.cam.ac.uk
CONTACT:Jimme Jardine
DESCRIPTION:This week Helen will be talking about :\n\nLarge-margin Learni
 ng of Submodular Summarization methods\nhttp://arxiv.org/abs/1110.2162\n\n
 In this paper\, we present a supervised learning approach to training subm
 odular scoring functions for extractive multi-document summarization. By t
 aking a structured predicition approach\, we provide a large-margin method
  that directly optimizes a convex relaxation of the desired performance me
 asure. The learning method applies to all submodular summarization methods
 \, and we demonstrate its effectiveness for both pairwise as well as cover
 age-based scoring functions on multiple datasets. Compared to state-of-the
 -art functions that were tuned manually\, our method significantly improve
 s performance and enables high-fidelity models with numbers of parameters 
 well beyond what could reasonbly be tuned by hand.
LOCATION:GS15\, Computer Laboratory
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