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Details about Knowledge-based Systems paper

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  • LOPES, L.; FERNANDES, P.; VIEIRA, R. Estimating term domain relevance through term frequency, disjoint corpora frequency - tf-dcf. Knowledge-based Systems (JCR Impact Factor 2.947), published online first January 2016.
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    BibTex Reference

    @article{Lopes2016,
    title = "Estimating term domain relevance through term frequency, disjoint corpora frequency - tf-dcf ",
    journal = "Knowledge-Based Systems ",
    volume = "97",
    number = "",
    pages = "237 - 249",
    year = "2016",
    note = "",
    issn = "0950-7051",
    doi = "http://dx.doi.org/10.1016/j.knosys.2015.12.015",
    url = "http://www.sciencedirect.com/science/article/pii/S0950705115004979",
    author = "Lucelene Lopes and Paulo Fernandes and Renata Vieira",
    keywords = "Term weighting",
    keywords = "Information retrieval",
    keywords = "Automatic term extraction",
    keywords = "Natural language processing ",
    abstract = "Abstract This paper proposes a new relevance index for terms extracted from domain corpora. We call it term frequency, disjoint corpora frequency (tf-dcf), and it is based on the absolute frequency of each term tempered by its frequency in other (contrasting) corpora. Conceptual differences and mathematical computation of the proposed index are discussed in respect with other similar approaches that also take contrasting corpora into account. To illustrate the efficiency of our index, this paper evaluates tf-dcf against other similar approaches. Finally, other experiments are made in order to analyze the tf-dcf behavior according to the characteristics of contrasting corpora. "
    }





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