Exploring Content Models for Multi-Document Summarization

@inproceedings{Haghighi2009ExploringCM,
  title={Exploring Content Models for Multi-Document Summarization},
  author={A. Haghighi and Lucy Vanderwende},
  booktitle={HLT-NAACL},
  year={2009}
}
  • A. Haghighi, Lucy Vanderwende
  • Published in HLT-NAACL 2009
  • Computer Science
  • We present an exploration of generative probabilistic models for multi-document summarization. Beginning with a simple word frequency based model (Nenkova and Vanderwende, 2005), we construct a sequence of models each injecting more structure into the representation of document set content and exhibiting ROUGE gains along the way. Our final model, HierSum, utilizes a hierarchical LDA-style model (Blei et al., 2004) to represent content specificity as a hierarchy of topic vocabulary… CONTINUE READING
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