@InProceedings{daume04pbhmm,
  author =       {Hal {Daum\'e III} and Daniel Marcu},
  title =        {A Phrase-Based {HMM} Approach to Document/Abstract Alignment}
  booktitle =    {Proceedings of EMNLP},
  year =         {2004},
  address =      {Barcelona, Spain},
  abstract =     {
    We describe a model for creating word-to-word and phrase-to-phrase
    alignments between documents and their human written abstracts.  Such
    alignments are critical for the development of statistical
    summarization systems that can be trained on large corpora of
    document/abstract pairs.  Our model, which is based on a novel
    Phrase-Based HMM, outperforms both the Cut \& Paste alignment model
    \cite{jing:cl} and models developed in the context of machine
    translation \cite{brownetal93}.
  },
  url = {http://pub.hal3.name/#daume04pbhmm}
}