129 citations · 203 across the 11 of their papers we have counts for
24 papers
Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots
Jorge Ramírez, Auday Berro, Marcos Baez +2
A prominent approach to build datasets for training task-oriented bots is crowd-based paraphrasing. Current approaches, however, assume the crowd would naturally provide diverse pa…
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Jorge Ramírez, Burcu Sayin, Marcos Baez +4
Crowdsourcing is being increasingly adopted as a platform to run studies with human subjects. Running a crowdsourcing experiment involves several choices and strategies to successf…
Active Hybrid Classification
Evgeny Krivosheev, Fabio Casati, Alessandro Bozzon
Hybrid crowd-machine classifiers can achieve superior performance by combining the cost-effectiveness of automatic classification with the accuracy of human judgment. This paper sh…
On the impact of predicate complexity in crowdsourced classification tasks
Jorge Ramírez, Marcos Baez, Fabio Casati +4
This paper explores and offers guidance on a specific and relevant problem in task design for crowdsourcing: how to formulate a complex question used to classify a set of items. In…
Chatbots as conversational healthcare services
Mlađan Jovanović, Marcos Baez, Fabio Casati
Chatbots are emerging as a promising platform for accessing and delivering healthcare services. The evidence is in the growing number of publicly available chatbots aiming at takin…
Challenges and strategies for running controlled crowdsourcing experiments
Jorge Ramírez, Marcos Baez, Fabio Casati +2
This paper reports on the challenges and lessons we learned while running controlled experiments in crowdsourcing platforms. Crowdsourcing is becoming an attractive technique to en…