One of the main predictions of principal-agent theory, the “informativeness principle”, is often violated in practice. We propose an explanation that emphasizes the role played by the change in the form of the optimal contract that follows an improvement in informativeness. We show that the overall gains from a less noisy performance measure emanate from two sources: the direct effect of a chan...

We introduce a corpus of 7,032 sentences rated by human annotators for formality, informativeness, and implicature on a 1-7 scale. The corpus was annotated using Amazon Mechanical Turk.1 Reliability in the obtained judgments was examined by comparing mean ratings across two MTurk experiments, and correlation with pilot annotations (on sentence formality) conducted in a more controlled setting. ...

Crisis responders are increasingly using social media, data and other digital sources of information to build a situational understanding of a crisis situation in order to design an effective response. However with the increased availability of such data, the challenge of identifying relevant information from it also increases. This paper presents a successful automatic approach to handling thi...

The purpose of this study is to study the reader's cognitive process in reading medical articles and its influence on the decision-making process. Twenty-four participants completed a survey pertaining to 36 medical articles on new treatments with similar text structures and similar titles. Participants rated each article on its level of interest, informativeness, and reliability, and were aske...

Inference of individual ancestry is useful in various applications, such as admixture mapping and structured-association mapping. Using information-theoretic principles, we introduce a general measure, the informativeness for assignment (I(n)), applicable to any number of potential source populations, for determining the amount of information that multiallelic markers provide about individual a...