Digging in the Dirt: Extracting Keyphrases from Texts with KD

Rachele Sprugnoli, Moretti Giovanni, Tonelli Sara

Risultato della ricerca: Contributo in libroContributo a convegno

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).
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015
Pagine198-203
Numero di pagine6
Stato di pubblicazionePubblicato - 2015
EventoCLiC-it 2015 - Fondazione Bruno Kessler, Trento
Durata: 3 dic 20154 dic 2015

Convegno

ConvegnoCLiC-it 2015
CittàFondazione Bruno Kessler, Trento
Periodo3/12/154/12/15

Keywords

  • keyphrase extraction, tool, information extraction

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