iRANK: an interactive ranking framework and its application in query-focused summarization

@inproceedings{Wei2009iRANKAI,
  title={iRANK: an interactive ranking framework and its application in query-focused summarization},
  author={Furu Wei and Wenjie Li and Wei Wang and Yanxiang He},
  booktitle={CIKM},
  year={2009}
}
We address the problem of unsupervised ensemble ranking in this paper. Traditional approaches either combine multiple ranking criteria into a unified representation to obtain an overall ranking score or to utilize certain rank fusion or aggregation techniques to combine the ranking results. Beyond the aforementioned combine-then-rank and rank-then-combine approaches, we propose a novel rank-learn-combine ranking framework, called Interactive Ranking (iRANK), which allows two base rankers to… CONTINUE READING

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Multi-View Sentence Ranking for Query-Biased Summarization

2010 International Conference on Computational Intelligence and Software Engineering • 2010
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