ML Anthology

Single Document Keyphrase Extraction Using Neighborhood Knowledge

Xiaojun Wan, Jianguo Xiao
AAAI 2008 pp. 855-860
doi:10.1007/s00380-020-01591-3 /aaai/2008/wan2008aaai-single/

Abstract

In conclusion, Zva is a simple, noninvasive marker that shows promise as a predictor of LVEF improvement after TAVR in reduced LVEF patients.

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Cite

Text

Wan and Xiao. "Single Document Keyphrase Extraction Using Neighborhood Knowledge." AAAI Conference on Artificial Intelligence, 2008. doi:10.1007/s00380-020-01591-3

Markdown

[Wan and Xiao. "Single Document Keyphrase Extraction Using Neighborhood Knowledge." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/wan2008aaai-single/) doi:10.1007/s00380-020-01591-3

BibTeX

@inproceedings{wan2008aaai-single,
  title     = {{Single Document Keyphrase Extraction Using Neighborhood Knowledge}},
  author    = {Wan, Xiaojun and Xiao, Jianguo},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2008},
  pages     = {855-860},
  doi       = {10.1007/s00380-020-01591-3},
  url       = {https://mlanthology.org/aaai/2008/wan2008aaai-single/}
}