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Multi task Pairwise Neural Ranking for Hashtag Segmentation

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Table 1: Examples of single- (47.1%) and multi-wordhashtags (52.9%) and their categorizations based on asample of our data.
Table 2: Example hashtag along with its gold and pos-sible candidate segmentations.
Figure 1: Pairwise neural ranking models for hashtag segmentation. Given two candidate segmentations sa and sbof hashtag h, the goal is to predict the segmentation’s goodness relative score (g) or absolute (g′) score.
Table 3: Statistics of the STANsmall and STANlargedatasets – number of unique hashtags, percentage ofmulti-token hashtags, average length of hashtags incharacters and words.
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