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Game based learning is still not widely accepted for work based learning purposes. Though game based learning has been integrated into formal education in school and university, corporate human resource departments still rely on more traditional learning approaches, since computer games are often seen as more of an opposite to work processes.
Knowing the geo-located venue of a tweet can facilitate better understanding of a user's geographic context, allowing apps to more precisely present information, recommend services, and target advertisements. However, due to privacy concerns, few users choose to enable geotagging of their tweets, resulting in a small percentage of tweets being geotagged; furthermore, even if the geo-coordinates are...
This paper describes an approach to infer the location of a social media post at a hyper-local scale based on its content, conditional to the knowledge that the post originates from a larger area such as a city or even a state. The approach comprises three components: (i) a discriminative classifier, namely, Logistic Regression (LR) which selects from a set of most probable sub-regions from where...
We introduce a method for learning to predict reader interest. In our approach, interest analysis bases on PageRank and social interaction content (e.g., reader feedback in social media). The method involves automatically estimating topical interest preferences and determining the sentiment for social content. In interest prediction, different content sources of articles and reader feedback representing...
Spoken language understanding (SLU) is concerned with the extraction of meaning structures from spoken utterances. Recent computational approaches to SLU, e.g., conditional random fields (CRFs), optimize local models by encoding several features, mainly based on simple n-grams. In contrast, recent works have shown that the accuracy of CRF can be significantly improved by modeling long-distance dependency...
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