Queen Mary University of London, United Kingdom

Silviu (https://silviupaun.com) is a postdoctoral researcher with expertise in label aggregation and training of models on data with disagreements. He is part of the DALI project, in charge of the analysis of the annotations collected using Phrase Detectives, a GWAP (game with a purpose) developed for gathering labels for coreference resolution, with over 5 million judgements collected. He is regularly involved in machine learning seminars, one of which he organises at Queen Marry University of London, delivering lectures on probabilistic models for NLP applications and parameter estimation techniques.

University of Bristol, United Kingdom

Edwin is a lecturer (assistant professor) who isleading new courses on Dialogue and Narrative and Text Analytics at the University of Bristol. During his PhD, he researched probabilistic aggregation methods for crowdsourced data, working with Zooniverse (https://www.zooniverse.org), the world’s largest volunteer crowdsourcing effort, and has advised numerous partners inscience and industry on crowdsourced data aggregation (e.g., https://alephinsights.com). Recently, he led a well-received seminar course and lectures on crowdsourcing and gave tutorials on Bayesian methods at Technische Universität Darmstadt. His research involves developing preference learning for NLP tasks and learning NLP models from interactions with end users and crowds.