جست‌وجوی استاد و پژوهشگر

Slavko Žitnikمشاهده پروفایل

دانشیار

• information retrieval
• information extraction
• natural language processing
• +۷ مورد دیگر

Slavko Žitnik is an Associate Professor and Vice-dean at the Faculty of Computer and Information Science, University of Ljubljana, where he is a member of the Laboratory for Data Technologies. His academic career spans multiple research projects and international collaborations focusing on data technologies and natural language processing. His primary research interests include information retrieval, information extraction, natural language processing, entity extraction, relationship extraction, coreference resolution, data merging, redundancy elimination, and ontologies. Dr. Žitnik's work often bridges theoretical computer science with practical applications in various domains including education, healthcare, and smart city ecosystems. Dr. Žitnik has led and participated in numerous significant research projects including P2-0359 on Ubiquitous Computing (2023-2027), PoVeJMo on Adaptive Natural Language Processing with Large Language Models (2023-2026), and the GOBLIN COST Action for building global networks of large-scale knowledge graphs. His recent work demonstrates a strong focus on adapting natural language processing techniques with large language models and creating practical applications of these technologies. His scientific contributions span multiple domains including: Natural Language Processing and Information Extraction techniques Knowledge graph construction and integration Applications in education, healthcare, and smart city ecosystems Development of practical tools and systems for data processing Dr. Žitnik has established international collaborations with institutions including Harvard University's Department of Biomedical Informatics (where he conducted a research visit from July to October 2022), the University of South Florida, and various European partners through COST Actions and other collaborative frameworks.

Erdem Yörükمشاهده پروفایل

استاد

• Social Welfare and Social Policy
• Social Movements
• Political Sociology
• +۲ مورد دیگر

Erdem Yörük is a Professor in Sociology at Koç University , with additional affiliations as Associate Member at the University of Oxford's Department of Social Policy and Intervention, and Affiliated Faculty at the Ford Institute of Human Security (University of Pittsburgh, Central European University). As Director of the Center for Computational Social Sciences at Koç University, he leads major research initiatives including the ERC-funded projects Emerging Welfare and Politus , along with the H2020 Social Comquant project. Ph.D. in Sociology from Johns Hopkins University (2012) M.A. in Sociology from Johns Hopkins University (2009) M.A. in Sociology from Boğaziçi University (2006) B.Sc. in Electrical and Electronics Engineering from Boğaziçi University (2002) His research integrates Computational Social Sciences with Political Sociology to analyze the interplay between Social Movements and Welfare Policy . Current work focuses on creating cross-national datasets ( Global Welfare Dataset (GLOW) and Global Contentious Politics Database (GLOCON) ) to explore how governments utilize social assistance as both Mobilization and Containment mechanisms in response to grassroots political activity. Major findings from his publications in journals like World Development , Governance , and Politics & Society demonstrate that Emerging Market Economies have developed distinct Populist Welfare State Regimes through interactions between Structural Pressures , Institutional Frameworks , and Political Agency . Notable among these is his 2022 book The Politics of the Welfare State in Turkey (University of Michigan Press), which presents a political explanation for Turkey's shift from employment-based social security to poverty-targeted assistance. He has organized EU-funded Training Workshops on topics including Social Media Data Research , Network Analysis with R , and Digital Trace Data applications. His methodological contributions span Random Sampling techniques for protest event coding, Multilingual Annotation protocols, and Machine Learning Integration with expert rule systems.

• Multimodal Communication
• Multimodal Corpora
• Computational Cognitive Science
• +۷ مورد دیگر

Costanza Navarretta serves as a Senior Researcher at the Department of Nordic Studies and Linguistics, University of Copenhagen, where she conducts advanced research in computational linguistics and multimodal communication through the Centre for Language Technology. Her work bridges theoretical linguistics with practical applications in digital text modeling and language resource development. Her academic foundation includes: PhD in Computational Linguistics (2002, University of Copenhagen) with dissertation 'The Use and Resolution of Intersentential Pronominal Anaphora in Danish Discourse' Master in Computer Science (1992, University of Copenhagen) with film minor Master in Scandinavian Languages and Literature (1982, University "La Sapienza" of Rome) Visiting studies in Nordic Philology (1980-1982, University of Copenhagen) Navarretta's research centers on multimodal communication systems, computational cognitive science, and intersentential pronominal anaphora. She develops methodologies for annotating and utilizing multimodal corpora while advancing natural language processing techniques for coreference resolution. Her expertise spans language technology, corpus linguistics, machine learning, and XML-based digital text modeling, with particular focus on parliamentary discourse and online interaction environments. As National Coordinator for CLARIN-DK since 2019, she shapes national infrastructure for language resources. Recent publications reveal a concentrated trajectory in parliamentary corpus linguistics, with significant contributions to the ParlaMint project across 20+ European languages. Her work integrates computational analysis of policy domains, gender representation, and sentiment in political debates, demonstrating interdisciplinary convergence between digital humanities, political science, and NLP. The GEHM Zoom corpus project further extends her research into multimodal behavior in virtual environments, reflecting adaptation to contemporary communication contexts. Navarretta actively shapes her field through extensive peer review for LREC, Nodalida, and journals including Natural Language Engineering, while co-organizing annual workshops on multimodal communication. Her leadership includes Programme Responsible for IT and Cognition (2013-2017, 2020-2023) and Head of Studies at the Nordic Research Institute (2015-2017), alongside developing courses at both University of Copenhagen and IT University. Current collaborations through CLARIN and ParlaMint networks demonstrate sustained international engagement in language resource development.