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Robert FrederkingView profile

Researcher

• Machine Translation
• Computational Linguistics
• Multilingual Information Processing
• +5 more

Robert Frederking is an Associate Dean for PhD Programs and Chair of the Master of Language Technologies program at Carnegie Mellon University's Language Technologies Institute (LTI), part of the School of Computer Science (SCS). With over three decades at CMU, he holds a PhD in Computer Science , specializing in machine translation and computational linguistics . Education : PhD in Computer Science, Carnegie Mellon University Research Interests : Advancing machine translation for low-resource languages Developing speech-to-speech translation systems (Tongues, NineOneOne projects) Building named entity recognition tools for defense applications Creating translingual information retrieval frameworks Designing multilingual processing architectures Scientific Awards : Allen Newell Award for Research Excellence Leadership & Grants : Principal Investigator for NSF KDI Universal Access project Co-PI for NSF/EU Muchmore project Organizer of JGC60 Celebration Representative to NSF-funded LEAP Alliance Labs & Teams : Founding member of CMU's Language Technologies Institute Contributor to evolution of Center for Machine Translation into LTI Key member of Dolphin Communication Project Participant in AMTA leadership (2004-2008)

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• +3 more

Phil Blunsom is a Professor of Computer Science at the University of Oxford and a Senior Research Fellow at St Hugh's College. His research focuses on the intersection of machine learning and computational linguistics, particularly using deep learning for natural language analysis, understanding, and generation. He has led the Natural Language research group at DeepMind London from 2014 to 2021. University of Oxford St Hugh's College DeepMind London (2014-2021) Blunsom's research explores algorithms for grounding natural language in AI systems, emphasizing compositional semantics, syntax, and multilingual distributed representations. His work spans neural machine translation, semantic parsing, and explainable AI, with a focus on adversarial learning and verification of explanatory methods. Selected publications highlight trends in NLP, robotics, and wireless signal analysis. Key themes include neural inertial tracking, multilingual models, and coreference resolution. Awards include the BEST PAPER at EWSN'13 and the best application paper at ICML 2014. Scientific contributions include: 2020 : Advancing adversarial generation of NLP explanations 2019 : MotionTransformer for domain transfer in robotics 2014 : Multilingual compositional distributional semantics 2013 : NLOS signal mitigation techniques Blunsom has advised numerous students in NLP and ML, including Satwik Bhattamishra, Jan Botha, and Yishu Miao. His research has received recognition for technical innovation in grammar induction, translation models, and lexicon modeling.

• Natural Language Processing
• Computational Linguistics
• Dependency Syntax
• +5 more

Prof. Zdeněk Žabokrtský is a Professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. He serves as the head of the PhD study program in Computational Linguistics and teaches several courses including Language Data Resources, Variability of Languages in Time and Space, Natural Language Processing, and Introduction to Language Technologies. His office is located in room S 409 on the 4th floor in the Lesser Town area of Prague. Prof. Žabokrtský's research spans multiple areas of Natural Language Processing and Computational Linguistics. His primary interests include building multilingual morphological resources, developing NLP applications that utilize parallel corpora, studying dependency syntax and valency frameworks, coreference resolution, theoretical studies on formal representations of natural languages, and applying Machine Learning techniques to linguistic problems. His work bridges theoretical linguistics with practical applications in language technology. Analysis of Prof. Žabokrtský's recent publications reveals a strong focus on morphological analysis, coreference resolution across multiple languages, and cross-lingual NLP. His research spans diverse languages including Czech, Turkish, Russian, and various Indic languages. He has made significant contributions to morphological resources, word-formation networks, and multilingual coreference systems, often creating and utilizing linguistic resources while developing novel computational approaches to linguistic phenomena. As an academic leader, Prof. Žabokrtský has supervised numerous PhD students and contributed to major research projects at the Institute of Formal and Applied Linguistics. His work has been supported by various grants that have enabled the development of important linguistic resources and NLP tools. He has been instrumental in establishing the PhD study program in Computational Linguistics at Charles University. Prof. Žabokrtský is a key member of the Institute of Formal and Applied Linguistics research teams, contributing to projects focused on developing language technologies, creating linguistic resources, and advancing theoretical understanding of natural language processing. His work is closely integrated with the Prague Dependency Treebank project and other major linguistic resources developed at Charles University.

• Discourse Analysis
• Sentence Information Structure
• Word Order
• +7 more

Kateřina Rysová is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. Her work focuses on discourse analysis, sentence information structure, Czech word order, dependency syntax, corpus linguistics, and historical Czech studies. Key Affiliations: Charles University in Prague (ÚFAL), Institute of Czech Language (Czech Academy of Sciences), Czech-German collaborations. Research Interests: She investigates how contextual and valency factors shape Czech word order, with a focus on obligatory and free verbal modifications. Her work bridges functional generative description with empirical corpus analysis, including studies on discourse connectives (primary vs. secondary), text coherence, and older Czech syntax. Publication Trends: Her recent articles (2018–2015) emphasize discourse connectives, coherence evaluation, and Czech-German comparative syntax. Earlier works (2014–2011) explore valency-driven word order, annotation principles in the Prague Dependency Treebank, and historical Czech lexicon. Her contributions to older Czech studies include lexicographical projects like the Lexikální databáze humanistické a barokní češtiny (2010) and Elektronický slovník staré češtiny (2011). Labs & Teams: She contributes to the Prague Dependency Treebank and LINDAT/CLARIN projects, focusing on multilingual corpus annotation and computational analysis of text structure.

Cleo SgouropoulouView profile

Professor

• E-Learning Technologies
• Learning Outcomes and Competence Modeling
• Open Educational Resources (OER)
• +6 more

Cleo Sgouropoulou is a Professor at the Department of Informatics and Computer Engineering at the University of West Attica (UNIWA) and currently serves as Vice-Rector for Finance, Planning, and Development. She holds a Diploma and PhD in Electrical and Computer Engineering from NTUA. Her academic roles include Scientific Director of UNIWA's Institute of Lifelong Education and former Head of the Department of Informatics and Computer Engineering. Her research focuses on software engineering for Learning Technology and Research Information Systems, with an emphasis on standardization (e.g., CEN TC353) and European projects related to e-Learning, Open Educational Resources (OER), and digital skills frameworks. She has coordinated major initiatives like the EuroLMAI European Norm and contributed to standardization of learning outcomes and learner mobility models. Prof. Sgouropoulou has authored over 140 publications in journals like Information and Software Technology and IEEE Transactions on Learning Technologies , with over 1,400 citations. Her work bridges AI, AR/VR, and pedagogy, exploring adaptive learning systems, fuzzy logic applications, and gamified educational tools. Recent research includes AI-enhanced augmented reality systems (e.g., PARSAT AR), digital escape rooms for environmental education, and personalized learning frameworks using Bayesian and reinforcement learning approaches. She actively participates in European standardization bodies, shaping policies for digital competencies and ICT professionalism. Her contributions have been formalized into CEN standards and adopted across education sectors. She also advocates for the integration of AI ethics and human-centered design in educational technology. Her grants and projects emphasize open educational resources, digital skill frameworks, and immersive technologies in special education. She collaborates with institutions like CEN, ELOT, and the Greek Mirror Committees to advance standardization efforts and promote equitable access to lifelong learning.

Patrick Georg GroszView profile

Professor

• Semantics
• Syntax-Semantics Interface
• Semantic microvariation
• +5 more

Patrick Georg Grosz is a Professor of General Linguistics at the University of Oslo's Department of Linguistics and Scandinavian Studies since 2017. Previously, he held roles as an Associate Professor (2016-2017) and Assistant Professor (Wissenschaftlicher Assistent) at the University of Tübingen (2011–2016). He earned a Ph.D. in Linguistics from MIT (2011) and a Habilitation (Double Venia Legendi) in German Linguistics and General Linguistics from the University of Tübingen (2015). His research focuses on semantics, syntax-semantics interfaces, emoji semantics, and the pragmatics of discourse particles. Notable areas include the study of emoji meaning in digital communication, the evolution of gesture-based communication in primates, and the syntax-semantics of narrative structures in dance and music. Recent work emphasizes the interplay between visual and linguistic meaning, such as analyzing face emoji ambiguity, exploring shared semantics between human and chimpanzee gestures, and developing formal semantic frameworks for electronic dance music's narrative grammar. He collaborates extensively with researchers in cognitive science, musicology, and zoology. His research groups include the Language Change, Pragmatics: Theory & Experiments, and Super Linguistics initiatives at the University of Oslo.

Mathis TeucherView profile

Researcher

• Pragmatics
• Cognitive Linguistics
• Translation Studies
• +3 more

Mathis Teucher is a doctoral student and researcher at the Heidelberg Center for Ibero-American Studies (HCIAS), specializing in pragmatic and cognitive aspects of communication. His research focuses on anaphoric reference mechanisms and discourse coherence, using experimental methods like eye-tracking. He coordinates international double degree programs in translation studies and teaches experimental research at the Institute for Translation and Interpreting. Teucher holds a DAAD-funded double master's degree from Heidelberg University and Universidad de Salamanca. His work includes guest lectureships across Latin America and Spain, emphasizing experimental pragmatics and translation studies. Education: International double master's in Specialized Translation and Cultural Mediation (Heidelberg University/Universidad de Salamanca), BA in Translation Studies (Heidelberg University). Key research areas include cognitive processing of anaphora, bilingualism, and experimental methodologies. Teaching and Projects: Leads HCIAS initiatives on translation technologies and cultural mediation programs. Supervised the DAAD-funded CS@Ibero-America_PLUS project. Guest lectures include experimental pragmatics courses at universities in Colombia, Panama, Spain, and Chile. Active in developing experimental tools for linguistic research.

Piek VossenView profile

Professor

• Computational Linguistics
• WordNets
• Natural Language Processing
• +2 more

Prof. Piek Vossen is Full Professor of Computational Lexicology at Vrije Universiteit Amsterdam, heading the Computational Lexicology & Terminology Lab (CLTL). A Spinoza Laureate (2013) and Knight in the Order of the Dutch Lion (2015), his research integrates computational linguistics, WordNets, and conversational AI. He co-founded the Global WordNet Association and leads projects including 'Make Robots Talk', 'Dutch FrameNet', and the Hybrid Intelligence Centre. Key research areas: Multilingual semantic networks and ontologies Cross-lingual language modeling Conversational agents and social robots Event extraction and perspective analysis Computational analysis of discourse and argumentation His recent work focuses on toxicity analysis in online discourse, medical language models, and hybrid intelligence systems that combine human and machine capabilities.

Martin StokhofView profile

Professor

• Philosophy of Language
• Formal Semantics
• Pragmatics
• +2 more

Martin Stokhof is a Full Professor in Philosophy at the Faculty of Humanities, University of Amsterdam (since 1998). Previously held positions include Full Professor at Katholieke Universiteit Nijmegen (1996-1998), Associate Professor (1988-1998), and Assistant Professor roles in philosophy of language and computational linguistics at the University of Amsterdam (1976-1998). He has published over 100 papers focusing on semantics, logic, and Wittgenstein’s philosophy, and supervised 23 PhD students and over 100 Master’s students. Founder (1991) and Scientific Director (1998-2004) of the Institute for Logic, Language and Computation (ILLC), Amsterdam. Current roles include Vice-President (since January 2017) and Domain Co-ordinator for Social Sciences and Humanities at the European Research Council (ERC); member of the ERC Scientific Council (since 2014). Administrative roles: Chair of the Humanities division of NWO (Dutch Organization for Scientific Research) and involvement in European research organizations (ESF, HERA). Research Interests include formal semantics and pragmatics of natural language, Wittgenstein’s philosophy, philosophical logic, and the intersection of logic and linguistics. His work explores dynamic approaches to semantics, theoretical foundations of linguistic structures, and methodological aspects of formal sciences. Key Article Trends : Focus on dynamic semantics (1991-2014), Wittgenstein’s influence on formal approaches (2008, 2011), interdisciplinary applications in computational linguistics (1990), and theoretical debates in semantic frameworks (1984-2011). Scientific Awards : Elected member of the Royal Dutch Academy of Sciences (KNAW), May 2006. Elected member of the Institut International de Philosophie, September 2007. Academic Leadership : Instrumental in establishing the ILLC, a leading interdisciplinary research institute. As of 2017, holds influential European-level roles at the ERC, shaping funding and strategic directions for humanities and social sciences research.

Anca-Diana BibiriView profile

Researcher

• Sociolinguistics
• Prosody
• Phonetics
• +5 more

Anca-Diana Bibiri is a Scientific Researcher III at the Department of Social Sciences and Humanities, Institute of Interdisciplinary Research, Alexandru Ioan Cuza University of Iași. She holds a PhD in Philology and a postdoctoral fellowship in linguistics. Her research focuses on sociolinguistic approaches to prosody, computational linguistics, and Romanian dialectology, with a strong emphasis on building digital language corpora like CoRoLa and AMPROM. She has contributed to interdisciplinary projects analyzing migration impacts, multilingual publishing dynamics, and socio-cultural variables in language use. Education: PhD in Philology, Alexandru Ioan Cuza University of Iași Postdoctoral Fellowship in Linguistics, same university Her work bridges traditional linguistics with digital tools, such as developing speech-to-text systems and entity-annotation frameworks like ERASK. Key areas include Romanian intonation patterns, migration-induced linguistic changes, and lexicographical digitalization challenges. She has led projects like CoBiLiRo (bimodal corpora platform) and collaborated on EU-funded initiatives studying migration effects in Belgium and Romania. Her articles explore intersections of language, culture, and technology, including citizen science engagement and research funding strategies. She maintains active roles in academic networks, often presenting at conferences on interdisciplinary humanities and digital linguistics.

Elizabeth PankratzView profile

Lecturer

• Cognitive Science
• Linguistics
• Psychology
• +6 more

Dr. Elizabeth Pankratz is a Lecturer in the Department of Psychology at the University of Edinburgh, where she teaches statistics. She is affiliated with the School of Philosophy, Psychology and Language Sciences (PPLS) and maintains strong connections with the Centre for Language Evolution. Dr. Pankratz completed her PhD at the University of Edinburgh's Centre for Language Evolution under the supervision of Prof. Jennifer Culbertson and Prof. Simon Kirby. Her doctoral research focused on language acquisition phenomena from a cognitive science perspective, culminating in her thesis "Segmentation, rule formation, and the emergence of generalisation." Her research spans cognitive science, linguistics, and psychology, with particular emphasis on how humans learn and generalize from concrete surface representations to abstract rules and patterns. Dr. Pankratz investigates language acquisition mechanisms, examining word segmentation, rule learning, and generalization processes through diverse methodological approaches including behavioral experiments, computational modeling, and corpus analysis. Dr. Pankratz's publication record reveals a cohesive research trajectory focused on cognitive mechanisms underlying language processing and acquisition. Her work explores how frequency distributions influence linguistic rule generalization, the relationship between language production and morphosyntactic learning, and the cognitive foundations of scalar inferences. She employs complementary methods to investigate language phenomena across different contexts, ages, and languages, contributing to our understanding of the cognitive architecture that supports language knowledge. Supervises undergraduate and postgraduate dissertations Mentored Sigurd Farstad Iversen (MSc Language and Cognition, 2023) Dr. Pankratz is actively engaged in research collaborations examining language register, cognitive modeling of linguistic phenomena, and the statistical properties of language processing. Her teaching focuses on statistics for psychology students, bridging methodological rigor with practical applications in cognitive science research.

Sebastian SchusterView profile

Lecturer

• Computational Linguistics
• Natural Language Processing (NLP)
• Large Language Models Evaluation
• +5 more

Sebastian Schuster is a Lecturer in Computational Linguistics at University College London (UCL), effective January 2024. He will transition to the University of Vienna in mid-2025 to lead a WWTF-funded research group. Previously, he held postdoctoral positions at Saarland University and NYU (via the 2020 Computing Innovation Fellowship), and completed his PhD in Linguistics at Stanford University, affiliated with the ALPS Lab and Stanford NLP Group. His research focuses on evaluating large language models (LLMs), computational semantics, and pragmatics. Key themes include improving NLU systems through entity tracking analysis, understanding scope ambiguities, and modeling pragmatic inferences. Recent work explores how pretraining affects LLM capabilities and how context influences scalar implicature processing. Notable contributions include datasets like SIGA for scalar implicatures and SpreadNaLa for code generation evaluation. He has presented at ETH Zurich, Oxford, and served as Area Chair for *SEM2023's psycholinguistics track. His fellowship and invited talks reflect recognition of his interdisciplinary work bridging computational and experimental linguistics. Professional activities include contributions to Universal Dependencies projects, software tools like Open Linguistics, and collaborations on child language development. His work integrates methodologies from NLP, experimental psychology, and cognitive science to advance both theoretical and applied linguistic research.

• Answer Set Programming
• Knowledge Representation and Reasoning
• Cyber-Physical Systems
• +3 more

Dr. Peter Schüller is a Professor affiliated with the Department of Knowledge-Based Systems at TU Wien (Vienna University of Technology). He holds the academic title of Privatdozent (Priv.-Doz.) and has a background in Technical Engineering (Dipl.-Ing. Dr.techn. / Bakk.techn.). His roles include academic research, consulting services for intelligent automation, and partnership with Potassco Solutions. He is based at Favoritenstrasse 11, Room HG0312, and can be contacted via peter.schueller@tuwien.ac.at or contact@peterschueller.com. Education : Master's Thesis: 'Reconstructing borders of manually torn paper sheets using integer linear programming' (2008) PhD (Dr.techn.) in Informatics Habilitation (Privatdozent) qualification Research Interests : Schüller specializes in declarative problem solving through Answer Set Programming (ASP), with focus areas including hybrid knowledge integration systems, inconsistency management, and applications in robotics, traffic optimization, and industrial automation. His work bridges theoretical advances in computational logic with practical implementations in enterprise software architecture and database systems. Projects & Grants : He has led projects funded by the Austrian Research Promotion Agency (FFG), Austrian Science Fund (FWF), and Vienna Science and Technology Fund (WWTF). Key projects include: 'Dynamic knowledge-based (re)configuration of cyber-physical systems' (2017–2020) 'Integrated Evaluation of Answer Set Programs' (2015–2018) 'Inconsistency Management for Knowledge-Integration Systems' (2009–2012) Consulting & Partnerships : Provides services in enterprise software design, database optimization, GDPR compliance, and hybrid knowledge systems. Official partner of Potassco Solutions. Collaborates on initiatives like AI4EU and HumanE-AI-Net. Labs & Teams : Active in TU Wien's Knowledge-Based Systems Group. Involved in developing the DLVHEX and Hexlite solvers.

• Natural Language Processing (NLP)
• Computational Linguistics
• Artificial Intelligence
• +11 more

Prof. Dr. Gülşen Cebiroğlu Eryiğit is a Professor at Istanbul Technical University (ITU) in the Department of Artificial Intelligence and Data Engineering under the Faculty of Computer and Informatics. As the founder and director of the ITU Natural Language Processing Group , she leads Turkey's foremost research team in Turkish-language NLP. Her work has achieved global impact through the first software export from ITU in NLP, with 6,000+ Google Scholar citations as of 2023. Education: MSc & PhD, Computer Engineering, ITU (2002-2007) BSc, Computer Engineering, Marmara University (1995-2000) High School: Saint-Michel (French curriculum) Her research focuses on natural language processing for morphologically complex languages like Turkish, with specializations in: Dependency parsing and treebank development Multilingual transfer learning systems Abstract meaning representation Language technology infrastructure Coreference resolution in agglutinative languages Gamification of linguistic education Recent publications show active research trends in: Transforming financial document analysis with BiLSTM-CRF architectures Advancing Turkish language models through ViBERTgrid implementations Developing multilingual frameworks under EU COST Actions Creating semantic search engines for job matching platforms Optimizing automotive demand management through dialogue systems Building large language models (LLMs) for Turkish Scientific recognition includes: Siemens Excellence Award (2007) for doctoral research Above Threshold Award (TÜBİTAK, 2015) EU 7th Framework Certificate of Appreciation (2012) ITU Thank You Plaque (2017) Current leadership roles: Senior Action Editor, ACL RR Director, ITU TÖMER (Turkish Language Teaching Center) Coordinator, ITU NLP Group Co-Chair, EU UniDive COST Action WG3 Principal Investigator on 3 active projects

Abhishek AroraView profile

Research Fellow

• Political Economy
• Development Economics
• Deep Learning
• +3 more

Abhishek Arora is a Pre-Doctoral Fellow in the Department of Economics at Harvard University, working with Professor Melissa Dell on projects combining Natural Language Processing and vision techniques to analyze historical datasets. He holds a Master's in Economics from Delhi School of Economics and a Bachelor's in Management Studies from Shaheed Sukhdev College of Business Studies. His research focuses on Political Economy, Development Economics, and Deep Learning, with particular emphasis on topics like local democracy, social norms, and historical text analysis. He has collaborated with institutions including the World Bank and universities such as NYU, Northwestern, and King’s College London. His work bridges computational methods with social science research, producing tools like EfficientOCR for digitization and datasets like American Stories. Key projects include evaluating local democracy's impact in India and analyzing marriage markets through a gender lens. Abhishek has extensive experience in interdisciplinary collaboration, having worked with economists and political scientists across multiple institutions. His contributions span methodological innovations in NLP, historical data curation, and policy-relevant development studies.