Using a unique panel data set detailing individual-level mobile app consumption, this study develops a utility theory-based structural model for multiple discrete/continuous choices in app use. We identify the dynamics and interdependencies between mobile apps and jointly quantify consumers’ app choice and satiation simultaneously. The results suggest that mobile users’ baseline utility is the ...

We have constructed a new “Who-did-What” dataset of over 200,000 fill-in-the-gap (cloze) multiple choice reading comprehension problems constructed from the LDC English Gigaword newswire corpus. The WDW dataset has a variety of novel features. First, in contrast with the CNN and Daily Mail datasets (Hermann et al., 2015) we avoid using article summaries for question formation. Instead, each pro...

Cooking recipes exist in abundance; but due to their unstructured text format, they are hard to study quantitatively beyond treating them as simple bags of words. In this paper, we propose an ingredientinstruction dependency tree data structure to represent recipes. The proposed representation allows for more refined comparison of recipes and recipe-parts, and is a step towards semantic represe...

Energy consumption by commercial buildings is a major component of the total energy consumption. In the United States commercial buildings account for about 20 percent of the overall energy consumption, and this figure is expected to increase. In this paper, we model the energy consumption of commercial buildings. By taking into account a variety of factors that affect a building’s energy consu...

Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth to develop psychiatric services that can automatically identify such events. In this paper, we propose the use of association language patterns, i.e., meaningful combinations of words (e.g., ), as features t...