One of the biggest challenges in Artificial Intelligence (AI) is to understand and formulate coherent and meaningful discourse in natural language. Words are traditionally represented as vectors, agnostic to their syntactical role, and used in specific tasks such as word similarity. Once we wish to represent the meanings of well-formed larger fragments, we have to deal with the complexity of sentence structure.
The number of visitors to museums is a key indicator of the performance of cultural institutions. Being able to have early estimates of visits is of crucial importance for cultural policy makers who need to allocate resources and funding, or to evaluate the impact of cultural policies.
Burstiness in human behavior has been observed at various levels, from individual behavior to collective social phenomena. Identifying the non-trivial mechanisms that cause burstiness is a crucial issue for understanding the universality of human behavior. Many studies on human behavior use web-based data and show burstiness in various contexts. In such cases, the state and attributes (e.g., demographic information) of the individuals are often unknown.
Previous studies have shown that physical coordination among musicians characterizes their joint performances [1,2]. This report presents an analysis of the physical synchrony between performers and audiences, aiming to test the hypothesis that audiences' subtle physical activities are linked to those of performers, reflecting the way they experience different modes of performance. The experiment involved the Portorius string Quartet, which performed movements from Mozart and Haydn quartets as well as improvised pieces in different performance modes.