The rapid development of the online food-delivery industry, has led to not only increases in number crowd-sourced shared service drivers on our roads, but also growing urban traffic safety management concerns. This study investigates decision-making behaviors that exist between delivery drivers, their platform and potential impact safety. Using evolutionary game theory, stakeholder involving wi...

Electronic health records have been adopted by many institutions and constitute an important source of biomedical information. Text mining methods can be applied to this type of information to automatically extract useful knowledge. We propose a crowd-sourcing pipeline to improve the precision of extraction and normalization of biomedical terms. Although crowd-sourcing has been applied in other...

There are many current problems in natural language processing that are best solved by training algorithms on an annotated in-language, in-domain corpus. The more representative the training corpus is of the test data, the better the algorithm will perform, but also the less likely it is that such a corpus has already been annotated. Annotating corpora for natural language processing tasks is t...

Received Jan 15, 2018 Revised Mar 29, 2018 Accepted Apr 11, 2018 Nowadays, in most of the modern database applications, lots of critical queries and tasks cannot be completely addressed by machine. Crowdsourcing database has become a new paradigm for harness human cognitive abilities to process these computer hard tasks. In particular, those problems that are difficult for machines but easier f...

Crowd-sourcing is increasingly being used for largescale polling and surveys. Companies such as SurveyMonkey and Instant.ly make crowd-sourced surveys commonplace by making the crowd accessible through an easy-to-use UI and easy to retrieve results. Further, they do so with a relatively low latency by having dedicated crowds at their disposal. In this paper we argue that the ease with which pol...

A large part of empirical social science relies heavily on data that are not observed in the field, but are generated by researchers sitting at their desks. Clearly, third party users of such coded data must satisfy themselves in relation to both reliability and validity. This paper discusses some of these matters for a widely used type of coded data, derived from content analysis of political ...