A Comparison of Supervised Keyphrase Extraction Models

Florin Bulgarov, Cornelia Caragea · 2015

Keyphrases for a document provide a high-level topic description of the document. Given the number of documents growing exponentially on the Web in the past years, accurate methods for extracting keyphrases from such documents are greatly needed. In this study, we provide a comparison of existing supervised approaches to this task to determine the current best performing model. We use research articles on the Web as the case study.

Read the paper · More papers on PaperTik