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).
2015
978-88-99200-62-6
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).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2910269
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