Organizing Committee (in alphabetical order)

• Yoav Artzi is an Associate Professor in the Department of Computer Science and Cornell Tech at Cornell University. His research focuses on developing learning methods for natural language understanding and generation in automated interactive systems. He received an NSF CAREER award, and his work was acknowledged by awards and honorable mentions at ACL, EMNLP, NAACL, and IROS. Yoav holds a B.Sc. from Tel Aviv University and a Ph.D. from the University of Washington.
• Kianté Brantley s a Postdoctoral scholar at Cornell working with Thorsten Joachims. He completed his Ph.D. in computer science at the University of Maryland College Park (UMD) advised by Professor Hal Daumé III. Brantley designs algorithms that efficiently integrate domain knowledge into sequential decision-making problems.
• Soham Dan is a Research Scientist at IBM. He completed his Ph.D. in Computer and Information Science at the University of Pennsylvania, advised by Dan Roth. His research focuses on natural language understanding, specifically for instruction following tasks. He is interested in interactive learning, compositional generalization, neuro-symbolic algorithms, and robust learning from limited supervision.
• Ji-Ung Lee is a PhD student at the Technical University of Darmstadt. His research focuses on effective model training from user feedback in low-data scenarios coupled with providing the user with instances that fit their needs.
• Edwin Simpson is a lecturer at the University of Bristol working on interactive learning for NLP and machine learning for crowdsourced annotation with an interest in Bayesian methods for handling uncertainty.
• Alison Smith-Renner is a Research Manager at Dataminr. Her research interests lie at the intersection of NLP and HCI, focusing on transparency and control for interactive NLP systems to engender appropriate trust and improve human performance. Alison received her Ph.D. from the University of Maryland, College Park.
• Alane Suhr is an Assistant Professor lecturer at the University of California, Berkeley EECS. Her research spans natural language processing, machine learning, and computer vision. She builds systems that use language to interact with people, e.g., in collaborative interactions (like CerealBar). She designs models and datasets that address and represent problems in language grounding (e.g., NLVR) and develops learning algorithms for systems that learn language through interaction.