Clustering to Find Exemplar Terms for Keyphrase Extraction

@inproceedings{Liu2009ClusteringTF,
  title={Clustering to Find Exemplar Terms for Keyphrase Extraction},
  author={Zhiyuan Liu and Peng Li and Yabin Zheng and Maosong Sun},
  booktitle={EMNLP},
  year={2009}
}
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed for keyphrase extraction. In practice, the keyphrases of a document should not only be statistically important in the document, but also have a good coverage of the document. Based on this observation, we propose an unsupervised method for keyphrase extraction. Firstly, the method finds exemplar terms by leveraging… CONTINUE READING
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