Speakers

Talk Title & Abstract: TBA

Speaker Bio: (To be Updated) Lise Getoor (UCSC) is a Professor in the Computer Science Department at UC Santa Cruz and the director of the UC Santa Cruz D3 Data Science Center. She received her PhD from Stanford University in 2001, her MS from UC Berkeley, and her BS from UC Santa Barbara, and was a professor at the University of Maryland, College Park from 2001-2013. Her research areas include machine learning and reasoning under uncertainty; in addition she works in data management, visual analytics and social network analysis.


Jonathan Berant
Jonathan Berant
Tel Aviv University / Allen Inst. of AI
Talk Title : Neuro-symbolic models for understanding complex questions
Questions that require integrating information over multiple pieces of information are important both from an applicative point-of-view, as such questions naturally arise in real life, and from a scientific point-of-view, as they allow us to test the reasoning abilities of our models. In this talk, I will describe symbolic representations for complex questions and will demonstrate their utility for multiple purposes. First, for improving compositional generalization, that is, the ability of question answering models to handle new compositions that did not occur at training time. Second, for achieving faithfulness, that is, for validating that the computation performed by a neural model indeed corresponds to our human intuitions. Last, for evaluation and robustness, that is, to automatically generate synthetic examples that evaluate and can improve model robustness.

Speaker Bio: Jonathan Berant is an associate professor at the School of Computer Science at Tel Aviv University and a research scientist at The Allen Institute for AI. Jonathan earned a Ph.D. in Computer Science at Tel-Aviv University, under the supervision of Prof. Ido Dagan. Jonathan was a post-doctoral fellow at Stanford University, working with Prof. Christopher Manning and Prof. Percy Liang, and subsequently a post-doctoral fellow at Google Research, Mountain View. Jonathan Received several awards and fellowships including The Rothschild fellowship, The ACL 2011 best student paper award, EMNLP 2014 best paper award, and NAACL 2019 best resource paper award, as well as several honorable mentions. Jonathan is currently an ERC grantee.


Antoine Bosselut
Antoine Bosselut
Stanford University
Talk Title & Abstract: TBA

Speaker Bio: Antoine Bosselut is a Postdoctoral Scholar at Stanford University and a Young Investigator at the Allen Institute for AI (AI2). He will join the École Polytechnique Fédéral de Lausanne (EPFL) as an assistant professor in 2021. He received his PhD at the University of Washington in 2020. He was recently named as one of the Forbes 30 under 30 list for Science and Healthcare. His research is on building knowledge-aware NLP systems, specializing in commonsense representation and reasoning.

Talk Title and Abstract to be updated!

Program Committee

Arun Iyer, Microsoft Research India
Aws Albarghouthi, University of Wisconsin-Madison
Chandra Bhagavatula, AI2
Charles Sutton, Google Brain
Kartik Talamadapula, IBM Research
Leon Weber, Humboldt University of Berlin
Matko Bošnjak, UCL
Robin Manhaeve, KU Leuven
Thomas Demeester, Ghent University

We will update the list as we add more PC members!