The Internet based cyber-physical world has profoundly changed the information
environment for the development of artificial intelligence (AI), bringing a new wave of AI …

The term 'crowdsourcing'was initially introduced in 2006 to describe an emerging distributed
problem-solving model by online workers. Since then it has been widely studied and …

What price should be offered to a worker for a task in an online labor market? How can one
enable workers to express the amount they desire to receive for the task completion …

Crowdsourcing markets have gained popularity as a tool for inexpensively collecting data
from diverse populations of workers. Classification tasks, in which workers provide labels …

The development of democratic systems is a crucial task as confirmed by its selection as one
of the Millennium Sustainable Development Goals by the United Nations. In this article, we …

Every day millions of crowdsourcing tasks are performed in exchange for payments. Despite
the important role pricing plays in crowdsourcing campaigns and the complexity of the …

The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …

In this shared task, we present evaluations on two related tasks Paraphrase Identification
(PI) and Semantic Textual Similarity (SS) systems for the Twitter data. Given a pair of …

Abstract The Multi-Armed Bandits (MAB) framework highlights the trade-off between
acquiring new knowledge (Exploration) and leveraging available knowledge (Exploitation) …

Recent work has introduced CASCADE, an algorithm for creating a globally-consistent
taxonomy by crowdsourcing microwork from many individuals, each of whom may see only a …