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Toward Selectivity-Based Keyword Extraction for Croatian News (CROSBI ID 616070)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Beliga, Slobodan ; Meštrović, Ana ; Martinčić- Ipšić, Sanda Toward Selectivity-Based Keyword Extraction for Croatian News // Surfacing the Deep and the Social Web (SDSW 2014) / Rupino da Cunha, Paulo ; Nguyen, Ngoc Thanh ; Boucelma, Omar et al. (ur.). Lahti: CEUR Proc. vol. 1310, 2014. str. 1-14

Podaci o odgovornosti

Beliga, Slobodan ; Meštrović, Ana ; Martinčić- Ipšić, Sanda

engleski

Toward Selectivity-Based Keyword Extraction for Croatian News

Our approach proposes a novel network measure - the node selectivity for the task of keyword extraction. The node selectivity is de- ned as the average strength of the node. Firstly, we show that selectivity- based keyword extraction slightly outperforms the extraction based on the standard centrality measures: in-degree, out- degree, betweenness, and closeness. Furthermore, from the data set of Croatian news we ex- tract keyword candidates and expand extracted nodes to word-tuples ranked with the highest in/out selectivity values. The obtained sets are evaluated on manually annotated keywords: for the set of extracted key- word candidates the average F1 score is 24.63%, and the average F2 score is 21.19% ; for the exacted word-tuples candidates the average F1 score is 25.9% and the average F2 score is 24.47%. Selectivity-based ex- traction does not require linguistic knowledge while it is purely derived from statistical and structural information of the network.

keyword extraction ; complex network ; centrality measures ; selectivity ; Croatian news texts

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Podaci o prilogu

1-14.

2014.

objavljeno

Podaci o matičnoj publikaciji

Surfacing the Deep and the Social Web (SDSW 2014)

Rupino da Cunha, Paulo ; Nguyen, Ngoc Thanh ; Boucelma, Omar ; Cautis, Bogdan ; Velegrakis, Yannis

Lahti: CEUR Proc. vol. 1310

1613-0073

Podaci o skupu

Surfacing the Deep and the Social Web

predavanje

01.01.2014-01.01.2014

Italija

Povezanost rada

Informacijske i komunikacijske znanosti, Računarstvo