Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach

Cornelia Caragea, Florin Adrian Bulgarov, Andreea Godea, Sujatha Das Gollapalli
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
Given the large amounts of online textual documents available these days, e.g., news articles, weblogs, and scientific papers, effective methods for extracting keyphrases, which provide a high-level topic description of a document, are greatly needed. In this paper, we propose a supervised model for keyphrase extraction from research papers, which are embedded in citation networks. To this end, we design novel features based on citation network information and use them in conjunction with
more » ... ional features for keyphrase extraction to obtain remarkable improvements in performance over strong baselines.
doi:10.3115/v1/d14-1150 dblp:conf/emnlp/CarageaBGG14 fatcat:hinzsef3lzfd3irmhgkdm6t34e