KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources
Giovanni Moretti, Rachele Sprugnoli, Sara Tonelli · Accademia University Press eBooks · 2016
This paper presents L-KD, a tool that relies on available linguistic and knowledge resources to perform keyphrase clustering and labelling. The aim of L-KD is to help finding and tracing themes in English and Italian text data, represented by groups of keyphrases and associated domains. We perform an evaluation of the top-ranked domains using the 20 Newsgroup dataset, and we show that 8 domains out of 10 match with manually assigned labels. This confirms the good accuracy of this approach, which does not require supervision.