Amir Zeldes is Associate Professor of Computational Linguistics at Georgetown University, where he runs the Georgetown University Corpus Linguistics lab, Corpling@GU. He has worked on multilayer treebank construction and evaluation, including development of the Georgetown University Multilayer corpus (GUM) and datasets for low resource languages, such as the UD Coptic Treebank. His main area of research is computational discourse modeling, working on frameworks such as Enhanced Rhetorical Structure Theory (eRST) and Graded Salience, as well as topics such as coreference resolution, genre variation and summarization. He is currently president of the ACL Special Interest Group on Annotation (SIGANN).

Daniel Zeman is an associate professor of computational linguistics at the Charles University in Prague. He obtained his PhD (also from Charles University) in 2005 with a dissertation on statistical methods for syntactic parsing of Czech. He then worked on cross-lingual transfer techniques for low-resource languages, and led several projects focused on multilingual NLP and harmonization of linguistic resources, including Interset (for morphological tagsets) and HamleDT (for dependency treebanks). He is one of the founders and leading personalities of the Universal Dependencies initiative, and vice-chair of the COST Action “Universality, Diversity and Idiosyncrasy in Language Technology” (UniDive). His current work extends to harmonized datasets for coreference resolution (CorefUD) and Uniform Meaning Representation (UMR).

Miryam de Lhoneux is an assistant professor in the department of Computer Science at KU Leuven in Belgium, researching and teaching Natural Language Processing. She heads the LAGoM NLP lab where the focus is on multilingual and interpretable models. Previously, she was a postdoc at the University of Copenhagen in Denmark. She has a PhD from Uppsala University, Sweden, an MSc in Artificial Intelligence from the University of Edinburgh, UK, and a BA and MA in languages and literatures from UCLouvain, Belgium.

Xiaofei Lu is the George C. and Jane G. Greer Professor of Applied Linguistics and Asian Studies at The Pennsylvania State University. His research has long centered on computational and quantitative analyses of linguistic complexity in reading materials, second language production, and academic writing. His current work explores mappings between linguistic forms and rhetorical/pragmatic functions in language production and sense-aware measurements of linguistic complexity that account for the specific meanings of polysemous linguistic forms in context. He has published over 90 peer-reviewed articles in leading journals, including Applied Linguistics, Behavior Research Methods, Computer Assisted Language Learning, Language Learning, Studies in Second Language Acquisition, TESOL Quarterly, and The Modern Language Journal. He received the 2023 Ken Hyland Best Paper Award from the Journal of English for Academic Purposes. His latest book, Corpus Linguistics and Second Language Acquisition: Perspective, Issues, and Findings, was published by Routledge in 2023.