Papers › BibRank: Automatic Keyphrase Extraction Platform Using~Metadata

BibRank: Automatic Keyphrase Extraction Platform Using~Metadata

13 Oct 2023arXiv:2310.09151archive 2025-07-28

Abdelrhman Eldallal, Eduard Barbu

Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks such as document classification, clustering, recommendation, indexing, searching, summarization, and text simplification. This paper introduces a platform that integrates keyphrase datasets and facilitates the evaluation of keyphrase extraction algorithms. The platform includes BibRank, an automatic keyphrase extraction algorithm that leverages a rich dataset obtained by parsing bibliographic data in BibTeX format. BibRank combines innovative weighting techniques with positional, statistical, and word co-occurrence information to extract keyphrases from documents. The platform proves valuable for researchers and developers seeking to enhance their keyphrase extraction algorithms and advance the field of natural language processing.

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ClusteringDocument ClassificationKeyphrase ExtractionText Simplification

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