Paper: Human-competitive tagging using automatic keyphrase extraction

ACL ID D09-1137
Title Human-competitive tagging using automatic keyphrase extraction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

This paper conects tworesearchareas: auto- matictagginthe weband statistical key- hrase extractio. First,alyze the quality of s a llabrativelycreatedflkonmy utraditioal evaluatio techiqes. Next, wdemontrate h ocuentscan btagged autoatically ithstate-ofthart keyprase extractioalgrith, andfrther imrover- frmance inthisew ain sina new al- grithm, “Mi”, at tilizesemantic fo ation tractedroWikipedia. Maui ut- perfosting appaches extracts tags that arecoetitive withthoseasigbythe best inhuan tagers.