Conundrums in Unsupervised Keyphrase Extraction: Making Sense of the State-of-the-Art
Kazi Saidul Hasan, Vincent Ng · 2010
State-of-the-art approaches for unsuper-vised keyphrase extraction are typically evaluated on a single dataset with a single parameter setting. Consequently, it is un-clear how effective these approaches are on a new dataset from a different domain, and how sensitive they are to changes in parameter settings. To gain a better under-standing of state-of-the-art unsupervised keyphrase extraction algorithms, we con-duct a systematic evaluation and analysis of these algorithms on a variety of stan-dard evaluation datasets. 1