Incorporating Social Context and Domain Knowledge for Entity Recognition
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...We also developed methodologies to incorporate knowledge from the Wikipedia and other sources into the system [7, 2] to bridge the gap between network science and the web mining research....
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"Incorporating Social Context and Do..." refers background or methods in this paper
...When training SOCINST, as for the hyperparameters α, β, and η, following [1, 5], we empirically take fixed values (i....
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...Probabilistic topic models have been successfully applied to multiple text mining tasks to extract topics from text [5, 15, 30]....
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...The AT model can be considered as an extension of Latent Dirichlet Allocation (LDA) [5], but one that considers the collaborative relationships between users....
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...From the modeling aspect, substantial research has been conducted for topic models, such as [5, 15, 30]....
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"Incorporating Social Context and Do..." refers methods in this paper
...To recognize instances from a free document, we can consider a sequential labeling model, for example, Conditional Random Fields (CRFs) [19]....
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