HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space

@inproceedings{Colmenares2015HEADSHG,
  title={HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space},
  author={Carlos A. Colmenares and Marina Litvak and Amin Mantrach and Fabrizio Silvestri},
  booktitle={HLT-NAACL},
  year={2015}
}
Automatic headline generation is a sub-task of document summarization with many reported applications. In this study we present a sequence-prediction technique for learning how editors title their news stories. The introduced technique models the problem as a discrete optimization task in a feature-rich space. In this space the global optimum can be found in polynomial time by means of dynamic programming. We train and test our model on an extensive corpus of financial news, and compare it… CONTINUE READING
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