Identifying Non-Explicit Citing Sentences for Citation-Based Summarization

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• Awais Athar (University of Cambridge)
• Thursday 03 February 2011, 12:00-13:00
• GS15, Computer Laboratory.

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

http://www.aclweb.org/anthology/P/P10/P10-1057.pdf

Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose a general framework based on probabilistic inference to extract such context information from scientific papers. We model the sentences in an article and their lexical similarities as a Markov Random Field tuned to detect the patterns that context data create, and employ a Belief Propagation mechanism to detect likely context sentences. We also address the problem of generating surveys of scientific papers. Our experiments show greater pyramid scores for surveys generated using such context information rather than citation sentences alone

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

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• Cambridge Forum of Science and Humanities
• Cambridge Language Sciences
• Cambridge talks
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