NLP Reading Group: Large-margin Learning of Submodular Summarization methods

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• Helen Yannakoudakis (University of Cambridge)
• Thursday 01 March 2012, 12:00-13:00
• GS15, Computer Laboratory.

If you have a question about this talk, please contact Jimme Jardine.

This week Helen will be talking about :

Large-margin Learning of Submodular Summarization methods http://arxiv.org/abs/1110.2162

In this paper, we present a supervised learning approach to training submodular scoring functions for extractive multi-document summarization. By taking a structured predicition approach, we provide a large-margin method that directly optimizes a convex relaxation of the desired performance measure. The learning method applies to all submodular summarization methods, and we demonstrate its effectiveness for both pairwise as well as coverage-based scoring functions on multiple datasets. Compared to state-of-the-art functions that were tuned manually, our method significantly improves performance and enables high-fidelity models with numbers of parameters well beyond what could reasonbly be tuned by hand.

This talk is part of the Natural Language Processing Reading Group series.

This talk is included in these lists:

• Cambridge Forum of Science and Humanities
• Cambridge Language Sciences
• Cambridge talks
• Chris Davis' list
• GS15, Computer Laboratory
• Guy Emerson's list
• Natural Language Processing Reading Group

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