KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles [article]

Marina Danilevsky, Chi Wang, Nihit Desai, Jingyi Guo, Jiawei Han
2013 arXiv   pre-print
We introduce KERT (Keyphrase Extraction and Ranking by Topic), a framework for topical keyphrase generation and ranking. By shifting from the unigram-centric traditional methods of unsupervised keyphrase extraction to a phrase-centric approach, we are able to directly compare and rank phrases of different lengths. We construct a topical keyphrase ranking function which implements the four criteria that represent high quality topical keyphrases (coverage, purity, phraseness, and completeness).
more » ... e effectiveness of our approach is demonstrated on two collections of content-representative titles in the domains of Computer Science and Physics.
arXiv:1306.0271v1 fatcat:w6iib3arkjbvjpbbnama73ovxy