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Véronique Hoste is Senior Full Professor of Computational Linguistics at Ghent University's Faculty of Arts and Philosophy, where she serves as Department Head of Translation, Interpreting and Communication and Director of the LT3 language technology research team. She also holds the position of Research Director for the Faculty of Arts and Philosophy. Her educational background includes a PhD in Computational Linguistics from the University of Antwerp (2005) focused on optimization in machine learning for coreference resolution. Key research areas encompass machine learning for natural language processing, semantic and discourse modeling, including specialized work in event detection, entity/event coreference resolution, irony detection, and emotion analysis. Hoste's publication trends reveal strong interdisciplinary focus, with recent work bridging NLP with crisis communication, digital humanities, and ethical AI. Her team develops high-quality datasets (e.g., EmoTwiCS for emotion trajectories) and collaborates extensively with commercial partners on projects like SentEMO for aspect-based sentiment analysis. Current research emphasizes multimodal emotion analysis, fuzzy rough set methods for sentiment detection, and cross-document event coreference. Elected member of the Royal Flemish Academy of Belgium for Science and the Arts (KVAB) Francqui Chair appointment by Université Libre de Bruxelles (2023-2024) Co-founded LT3 spin-off AlfaSent (2024) for customer feedback analysis Authored first Dutch-language book on NLP: "Taaltechnologie ontrafeld" She actively supervises multiple PhD students on projects including Common-sense knowledge in irony detection (Common-sense), cross-document event coreference (Encore), and empathy modeling in conversational agents (FlandersAI). Her team secures funding through interdisciplinary collaborations like NewsDNA for news recommendation and METRICS for emotion trajectory analysis. Hoste also engages in public outreach through the "AI at school" initiative and advises on language technology integration in high school curricula. The LT3 laboratory under her leadership maintains strong industry partnerships and develops practical NLP tools including EmotioNL and Automatic Term Extraction systems, while advancing core research through projects like CLARIAH-VL for data curation.

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +7 more

Veronique Hoste is a Full Professor of Computational Linguistics at Ghent University's Faculty of Arts and Philosophy , where she serves as Department Head of the Department of Translation, Interpreting and Communication and Director of the LT3 Language and Translation Technology Team . Her work bridges machine learning with natural language processing, focusing on semantics, discourse modeling, and practical applications in emotion detection, irony recognition, and customer service dialogue analysis. PhD in Computational Linguistics from University of Antwerp (2005) 2023-2024: Francqui Chair at Université Libre de Bruxelles 2024: Elected to Royal Flemish Academy of Belgium (KVAB) Research Interests: Specializes in machine learning approaches to coreference resolution, sentiment analysis, and multimodal emotion detection. Leads projects like FlandersAI (empathy in conversational agents), METRICS (emotion trajectories in service dialogues), and SENTiVENT (financial event extraction). Develops high-quality datasets (e.g., EmotioNL , ENCORE ) for broader NLP community use. Recent Publications span Dutch social media irony detection, Classical Chinese poetry sentiment analysis, and multimodal emotion datasets. Collaborates on interdisciplinary initiatives like NewsDNA (news recommendation) and SentEMO (commercial sentiment analysis). Scientific Awards Francqui Chair (2023-2024) KVAB Membership (2024) Outreach includes co-founding AlfaSent (LT3 spin-off for customer feedback analysis) and authoring the first Dutch-language NLP book Taaltechnologie Ontrafeld (2024). Coordinates AI education initiatives like the AI at School project.

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +7 more

Professor Christoph Anderl is a distinguished scholar of Chinese Language and Culture at Ghent University, where he has served as Professor since February 2015. He leads the Ghent Centre for Buddhist Studies and is affiliated with the DiaLing research group for Diachronic and Diatopic Linguistics within the Faculty of Arts and Philosophy's Department of Languages and Cultures. His international academic journey includes significant appointments at Ruhr University Bochum, University of Oslo, and Kyoto University. Professor Anderl's research focuses on Medieval Chinese as reflected in Buddhist texts, particularly early vernacular Chinese and Buddhist Hybrid Chinese, with emphasis on syntax, semantics, and rhetorical devices in Dunhuang manuscript material. His work also explores Buddhist iconography in Central Asia and China, examining text-image relations in Buddhist narratives. Additional research interests include Chan/Zen Buddhism, Classical Chinese syntax, Asian religious history, Buddhist lexicography, Digital Humanities, and Chinese historical phonology. His scholarly output shows a clear focus on the intersection of language, religion, and material culture in medieval China, with particular attention to Dunhuang manuscripts and Buddhist textual traditions. Recent publications demonstrate his ongoing commitment to both linguistic analysis of medieval Chinese texts and the study of Buddhist religious practices, including ritual texts and iconographic programs. Marie Curie Pegasus Fellowship recipient Principal investigator for the Ghent Database of Medieval Chinese Texts (DMCT) Lead organizer of multiple international Doctoral Schools on Chinese Buddhist studies Active participant in the 'From the Ground Up: Buddhism and East Asian Religions' project Professor Anderl maintains an active supervisory role for numerous PhD and postdoctoral projects while also engaging in extensive international collaboration. His work bridges linguistic analysis, religious studies, and digital humanities approaches to create a comprehensive understanding of medieval Chinese Buddhist culture. He regularly organizes conferences, delivers guest lectures worldwide, and conducts fieldwork at significant Buddhist sites across Asia.

• Medieval Chinese Linguistics
• Buddhist Hybrid Chinese
• Dunhuang Manuscripts
• +8 more