@InProceedings{daume05mse,
  author =       {Hal {Daum\'e III} and Daniel Marcu},
  title =        {Bayesian Multi-Document Summarization at MSE},
  booktitle =    {Proceedings of the Workshop on Multilingual Summarization Evaluation (MSE)},
  year =         {2005},
  address =      {Ann Arbor, MI},
  month =        {June 29},
  abstract =     {
    We describe our entry into the Multilingual Summarization Evaluation
    (MSE) competition for evaluating generic multi-document summarization
    systems, where documents are drawn both from English data and English
    translations of Arabic data.  Our system is based on a Bayesian
    Query-Focused Summarization model, adapted to the generic,
    multi-document setting and tuned against the \textsc{Rouge} evaluation
    metric.  In the human pyramid-based evaluation, our system scored an
    average of $0.530$, approximately $8\%$ better than the next best
    system, which scored $0.489$.  In the automatic evaluation, our system
    scored $0.157$ (behind four other sites) with the skip-bigram
    evaluation, and $0.131$ (behind two other sites) with the standard
    bigram evaluation.
  },
  url = {http://pub.hal3.name/#daume05mse}
}