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• W2758045102 abstract "We propose a language-independent data-driven method to exhaustively extract bursty phrases of arbitrary forms (e.g., phrases other than simple noun phrases) from microblogs. The burst (i.e., the rapid increase of the occurrence) of a phrase causes the burst of overlapping N-grams including incomplete ones. In other words, bursty incomplete N-grams inevitably overlap bursty phrases. Thus, the proposed method performs the extraction of bursty phrases as the set cover problem in which all bursty N-grams are covered by a minimum set of bursty phrases. Experimental results using Japanese Twitter data showed that the proposed method outperformed word-based, noun phrase-based, and segmentation-based methods both in terms of accuracy and coverage." @default.
• W2758045102 created "2017-10-06" @default.
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• W2758045102 date "2017-01-01" @default.
• W2758045102 modified "2023-09-22" @default.
• W2758045102 title "Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem" @default.
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• W2758045102 doi "https://doi.org/10.18653/v1/d17-1251" @default.
• W2758045102 hasPublicationYear "2017" @default.
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