This paper presents L-KD, a tool that relies on available linguistic and knowledge resources to perform keyphrase clustering and labelling. The aim of L-KD is to help finding and tracing themes in English and Italian text data, represented by groups of keyphrases and associated domains. We perform an evaluation of the top-ranked domains using the 20 Newsgroup dataset, and we show that 8 domains out of 10 match with manually assigned labels. This confirms the good accuracy of this approach, which does not require supervision.

KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources / Moretti, Giovanni; Sprugnoli, Rachele; Tonelli, Sara. - (2016), pp. 216-221. ((Intervento presentato al convegno Third Italian Conference on Computational Linguistics (CLiC-it 2016) tenutosi a Napoli, Italia nel 5-7 December 2016.

KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources

Rachele Sprugnoli;
2016

Abstract

This paper presents L-KD, a tool that relies on available linguistic and knowledge resources to perform keyphrase clustering and labelling. The aim of L-KD is to help finding and tracing themes in English and Italian text data, represented by groups of keyphrases and associated domains. We perform an evaluation of the top-ranked domains using the 20 Newsgroup dataset, and we show that 8 domains out of 10 match with manually assigned labels. This confirms the good accuracy of this approach, which does not require supervision.
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KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources / Moretti, Giovanni; Sprugnoli, Rachele; Tonelli, Sara. - (2016), pp. 216-221. ((Intervento presentato al convegno Third Italian Conference on Computational Linguistics (CLiC-it 2016) tenutosi a Napoli, Italia nel 5-7 December 2016.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2910348
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