Corpus ID: 233289404

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction

@article{Ushio2021BackTT,
  title={Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction},
  author={Asahi Ushio and Federico Liberatore and Jos{\'e} Camacho-Collados},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.08028}
}
Term weighting schemes are widely used in Natural Language Processing and Information Retrieval. In particular, term weighting is the basis for keyword extraction. However, there are relatively few evaluation studies that shed light about the strengths and shortcomings of each weighting scheme. In fact, in most cases researchers and practitioners resort to the well-known tf-idf as default, despite the existence of other suitable alternatives, including graph-based models. In this paper, we… Expand

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