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 originale | English |
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Titolo della pubblicazione ospite | Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015 |
Pagine | 198-203 |
Numero di pagine | 6 |
Stato di pubblicazione | Pubblicato - 2015 |
Evento | CLiC-it 2015 - Fondazione Bruno Kessler, Trento Durata: 3 dic 2015 → 4 dic 2015 |
Convegno
Convegno | CLiC-it 2015 |
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Città | Fondazione Bruno Kessler, Trento |
Periodo | 3/12/15 → 4/12/15 |
Keywords
- keyphrase extraction, tool, information extraction