Iryna Gurevych (PhD 2003, U. Duisburg-Essen, Germany) is a professor of Computer Science and director of the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University (TU) of Darmstadt in Germany. She joined TU Darmstadt in 2005 (tenured as full professor in 2009). Her main research interest is machine learning for large-scale language understanding, including text analysis for social sciences and humanities. She is one of the co-founders of the field of computational argumentation with many applications, such as the identification of fake news and decision-making support. Iryna’s work received numerous awards, e.g. a highly competitive Lichtenberg-Professorship Award from the Volkswagen Foundation and a DFG Emmy-Noether Young Researcher’s Excellence Career Award. Iryna was elected to be President of SIGDAT, one of the most important scientific bodies in the ACL community. She was program co-chair of ACL’s most important conference in 2018, the Annual Meeting of the Association for Computational Linguistics, and she is General Chair of *SEM 2020, the 9th Joint Conference on Lexical and Computational Semantics.

André Martins (PhD 2012, Carnegie Mellon University and University of Lisbon) is an Associate Professor at Instituto Superior Técnico, University of Lisbon, a researcher at Instituto de Telecomunicações, and VP of AI Research at Unbabel. His main research interests include structured prediction for NLP, discovery of discrete latent structure, and the use of sparse attention mechanisms to induce interpretability in deep learning systems. His work has received several awards, such as an Honorable Mention in CMU’s SCS Dissertation Award, the Portuguese IBM Scientific Prize, and 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 (2011–2020). He has been awarded an ERC starting grant for the DeepSPIN project (2018-23), whose goal is to develop new deep learning models and algorithms for structured prediction in NLP. He served as area chair and/or senior area chair at top NLP and ML conferences, including ACL, EMNLP, ICLR, and NeurIPS, and he is action editor at TACL.

Ivan Titov is Associate Professor (Reader / UHD) at the Universities of Edinburgh and Amsterdam. He received his PhD from the University of Geneva, and also spent time at the University of Illinois in Urbana-Champaign (as a postdoc) and the Saarland University (as a junior faculty member). His current research focuses on natural language understanding (including semantic parsing, question answering and information extraction), natural language generation (text summarization and machine translation) and generally on ML for NLP (latent variable models, structured prediction, interpreting neural models). He has been awarded an ERC starting grant, Dutch VIDI fellowship and Google faculty awards. Ivan co-directs the Edinburgh doctoral school in NLP (CDT in NLP) and the Edinburgh ELLIS unit. He has been a program chair for CoNLL 2018, an action editor at TACL and JMLR, a member of the advisory board of the European chapter of ACL and program co-chairing the upcoming ICLR 2021.

Nafise Sadat Moosavi (PhD 2019, Heidelberg University, Germany) is a postdoctoral researcher at UKP Lab. Her main research interests are discourse analysis, text generation, and developing simple, robust, and generalizable models. She serves as an area chair in EACL 2021 and ACL/IJCNLP 2021, and as a standing reviewer for TACL and CL. She co-founded and co-organizes SustaiNLP workshops.

Mohsen Mesgar (Ph.D. 2020, Heidelberg University) is a postdoc at the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University of Darmstadt (TUD). Before moving to UKP, he conducted his research at Heidelberg Institute for Theoretical Studies (HITS). His scientific background is in computer science and artificial intelligence. His research focuses on computational models for text representations, semantic information extraction, and text generation. Mohsen continually serves as the PC for top NLP conferences (e.g., ACL, NAACL, EMNLP, and EACL). He currently serves as an area chair for EACL 2021.

Nandan Thakur (B.E. 2018, Birla Institute of Technology and Science (BITS) Pilani, India) is a full-time research assistant at UKP Lab. His research focuses on computational models for semantic representation, information retrieval and likes to work on low-resource and efficient NLP.