Program

Dr. Saif M. Mohammad is a Senior Research Scientist at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from the University of Toronto. Before joining NRC, he was a Research Associate at the Institute of Advanced Computer Studies at the University of Maryland, College Park. His research interests are in Natural Language Processing (NLP), especially Lexical Semantics, Emotions and Language, Computational Creativity, AI Ethics, NLP for psychology, and Computational Social Science. He is currently an associate editor for Computational Linguistics, JAIR,  and TACL, and Senior Area Chair for ACL Rolling Review.

Joakim Nivre is Professor of Computational Linguistics at Uppsala University and Senior Researcher at RISE (Research Institutes of Sweden). He holds a Ph.D. in General Linguistics from the University of Gothenburg and a Ph.D. in Computer Science from Växjö University. His research focuses on data-driven methods for natural language processing, in particular for morphosyntactic and semantic analysis. He is one of the main developers of the transition-based approach to syntactic dependency parsing, described in his 2006 book Inductive Dependency Parsing and implemented in the widely used MaltParser system, and one of the founders of the Universal Dependencies project, which aims to develop cross-linguistically consistent treebank annotation for many languages and currently involves over 130 languages and over 500 researchers around the world. He has produced nearly 300 scientific publications and has over 22,000 citations according to Google Scholar (April, 2023). He is a fellow of the Association for Computational Linguistics and was the president of the association in 2017.

Ana Marasović is an Assistant Professor in the Kahlert School of Computing at the University of Utah. Her primary research interests are at the confluence of NLP, explainable AI, and multimodality. She aims to rigorously validate AI technologies and make human interaction with AI more intuitive. She was a Young Investigator at the Allen Institute for AI from 2019–2022. During that time, she also had a courtesy appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She obtained her PhD in 2019 from Heidelberg University. She received Best Paper Honorable Mention at ACL 2020 and Best Paper Award at SoCal 2022 NLP Symposium.

Christos Christodoulopoulos is a Senior Applied Scientist at Amazon Research Cambridge, working on knowledge extraction and verification. He got his PhD at the University of Edinburgh, where he studied the underlying structure of syntactic categories across languages. Before joining Amazon, he was a postdoctoral researcher at the University of Illinois working on semantic role labeling and psycholinguistic models of language acquisition. He has been a co-organiser of the FEVER workshops, an area chair for various ACL conferences, and the general chair for the 2021 Truth and Trust Online conference.

André Martins (PhD 2012, Carnegie Mellon University and University of Lisbon) is an Associate Professor at Instituto Superior Técnico, University of Lisbon, researcher at Instituto de Telecomunicações, and the VP of AI Research at Unbabel. His research, funded by a ERC Starting Grant (DeepSPIN) and other grants (P2020 project Unbabel4EU and CMU-Portugal project MAIA) include machine translation, quality estimation, structure and interpretability in deep learning systems for NLP. His work has received best paper awards at ACL 2009 (long paper) and ACL 2019 (system demonstration paper). He co-founded and co-organizes the Lisbon Machine Learning School (LxMLS), and he is a Fellow of the ELLIS society.