In this paper we present a keyphrase extraction system called Keyphrase Digger (KD). The tool uses both statistical measures and linguistic information to detect a weighted list of n-grams representing the most important concepts of a text. KD is the reimplementation of an existing tool, which has been extended with new features, a high level of customizability, a shorter processing time and an extensive evaluation on different text genres in English and Italian (ie scientific articles and historical texts).
Moretti, G., Sprugnoli, R., Tonelli, S., Digging in the Dirt: Extracting Keyphrases from Texts with KD, Paper, in Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015, (Trento, 03-04 December 2015), Accademia University Press srl, Torino 2015: 198-203 [http://hdl.handle.net/10807/132952]
Digging in the Dirt: Extracting Keyphrases from Texts with KD
Sprugnoli, RacheleSecondo
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2015
Abstract
In this paper we present a keyphrase extraction system called Keyphrase Digger (KD). The tool uses both statistical measures and linguistic information to detect a weighted list of n-grams representing the most important concepts of a text. KD is the reimplementation of an existing tool, which has been extended with new features, a high level of customizability, a shorter processing time and an extensive evaluation on different text genres in English and Italian (ie scientific articles and historical texts).
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