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 (i.e., scientific articles and historical texts).
Digging in the Dirt: Extracting Keyphrases from Texts with KD / Moretti, Giovanni; Sprugnoli, Rachele; Tonelli, Sara. - ELETTRONICO. - (2015), pp. 198-203. (Intervento presentato al convegno Second Italian Conference on Computational Linguistics CLiC-it 2015 tenutosi a Trento, Italy nel 3-4/12/2015).
Digging in the Dirt: Extracting Keyphrases from Texts with KD
Sprugnoli, Rachele;
2015-01-01
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 (i.e., scientific articles and historical texts).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
