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.

Isabel Papadimitriou is a Kempner Fellow at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard, and incoming as an assistant professor of linguistics at the University of British Columbia. She is interested in analyzing how large language models learn and represent abstract structural systems, and in how experiments on language models can help enrich the hypothesis space around what makes the learning and representation of language possible.

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.

Artur Stepanov is a professor of psycholinguistics at the University of Nova Gorica. His work focuses on the cognitive representation and real-time processing of syntactic dependencies in monolingual and multilingual speakers, exploring how internal grammatical competence maps onto observable linguistic behavior. He combines psycholinguistic experimentation with insights from generative syntax, with particular emphasis on lesser-studied Slavic languages. He is involved in multiple international collaborations on projects related to sentence comprehension and production, the linguistic and cognitive dimensions of multilingualism, and, more recently, the compositional aspects of animal (marine mammal) vocalization sequences.