جست‌وجوی استاد و پژوهشگر

Nicholas Evansمشاهده پروفایل

استاد

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

Walid Magdyمشاهده پروفایل

استاد

• Computational Social Science
• Natural Language Processing
• Social Content Analysis
• +۸ مورد دیگر

Walid Magdy is a Professor at the School of Informatics, The University of Edinburgh, where he is a faculty member at the Institute for Language, Cognition and Computation (ILCC). He holds a PhD from Dublin City University's School of Computing and has been a faculty fellow at The Alan Turing Institute. With substantial industry experience, he has worked for Qatar Computing Research Institute (QCRI), Microsoft, and IBM, where he filed nine patents. His research spans computational social science and natural language processing. In computational social science, he focuses on social content analysis, political bias detection, polarization, and users' behavior analysis/prediction, with particular attention to understudied communities. His natural language processing work centers on social applications including sentiment analysis, sarcasm detection, and hate-speech identification, with specialized expertise in Arabic and its dialects as well as Persian. Professor Magdy's recent publications demonstrate a consistent focus on Arabic language processing and social media analysis, with growing attention to cultural factors in NLP systems. His work bridges computational methods with social science questions, particularly regarding misinformation, cultural differences in online behavior, and the impact of platform policies on diverse linguistic communities. He has expanded his research to include Persian language processing and continues to explore social dynamics across different cultural contexts. His significant contributions have been recognized with multiple awards: Best Demo Award for TwiXplorer at CSCW 2024 Outstanding Paper Award at ACL 2024 Best Paper Award Runner-up at SocInfo 2022 Best Paper Award at WANLP-EMNLP 2022 Best Paper Award at AIRS 2015 Best Dataset Award at ICWSM 2013 Professor Magdy serves as an editor for Springer's Social Network Analysis and Mining journal and has held leadership roles in major conferences including ACL 2023, ArabicNLP 2023, ICWSM 2022, and ASONAM 2022. He has co-organized numerous shared tasks focused on Arabic language processing and social media analysis, contributing significantly to community resources and benchmarks. He founded and directs the Social Media Analysis and Support for Humanity (SMASH) research group at the University of Edinburgh, which has organized the Summer School in Computational Social Science (SICSS-Edinburgh) in 2022, 2023, and 2025, training researchers in computational social science methodologies.

Meredith Tammingaمشاهده پروفایل

دانشیار

• Sociolinguistics
• Psycholinguistics
• Language Change
• +۴ مورد دیگر

Meredith Tamminga is an Associate Professor of Linguistics at the University of Pennsylvania, where she directs the Language Variation and Cognition Lab . Her work bridges sociolinguistics , psycholinguistics , and theoretical linguistics , focusing on how linguistic variability is represented in mental grammar and how social context influences speech perception and production. She co-leads the Philadelphia Signs Project , exploring sign language sociolinguistics with collaborators at Penn and Gallaudet University. PhD in Linguistics (2014), University of Pennsylvania BA in Linguistics (2009), McGill University Her research integrates experimental methods with naturalistic speech analysis to study individual and group-level language change. Keywords include phonetics-phonology mapping , intraspeaker variation , and quantitative modeling . Notable grants include NSF awards and SAS Dean’s Mentorship Award . Key affiliations include MindCORE , Penn’s hub for integrative mind sciences, and collaborative ties to the Phonetics Lab , Child Language Lab , and Cultural Evolution of Language Lab . Her lab emphasizes cross-departmental research and welcomes undergraduate RAs and PhD students.

Roger Giner-Sorollaمشاهده پروفایل

استاد

• Moral Psychology
• Social Psychology
• Emotion Research
• +۷ مورد دیگر

Roger Giner-Sorolla is Professor of Social Psychology at the University of Kent's School of Psychology, where he has been a faculty member since 2001 after completing his PhD at New York University in 1996. He served as Editor-in-Chief of the Journal of Experimental Social Psychology from 2016-2022 and currently leads a Leverhulme Foundation grant examining moral heroism across professions. His academic journey includes a postdoctoral fellowship at the University of Virginia and has established him as a leading figure in social and moral psychology. Professor Giner-Sorolla's research focuses on the social role of emotions, particularly moral emotions including self-condemning emotions (guilt and shame) and other-condemning emotions (anger, contempt, and disgust). His work extends to intergroup apologies, dehumanization, emotionally driven prejudice, and collective moral roles, with a notable side interest in the ironic enjoyment of music and aesthetic experiences. He is a strong advocate for transparency in scientific reporting, having written extensively on improved reporting guidelines, pre-registration, and open science practices. Analysis of his recent publications reveals a consistent focus on moral psychology with expanding interdisciplinary reach. His work bridges traditional social psychology with emerging areas including cross-cultural emotion research, replication science, and historical memory. The trend shows increasing attention to methodological rigor while maintaining core interests in emotion and morality, with growing emphasis on practical applications in conflict resolution and intergroup relations. Fellow of the Association for Psychological Science Member of Rising Stars selection committee (2023-2024) Promising Scholars Award (University of Kent, 2006) Vacation Research Scholarship (Wellcome Trust, 2005) Multiple ESRC grants totaling over £400,000 European Science Foundation Workshop Award (2004) Professor Giner-Sorolla has supervised an impressive number of PhD students, with 17 doctoral candidates listed in the documentation including both current and past students. His grant portfolio demonstrates significant research impact with funding from major organizations including ESRC, Wellcome Trust, and Leverhulme Foundation. His supervision style appears to encourage students to pursue research that aligns with his core interests in moral emotions while allowing exploration of novel applications and contexts. While the documentation doesn't specify laboratory or research team structures, his extensive collaborative work suggests leadership of research groups focused on moral psychology and emotion research. His numerous international collaborations and invited workshops indicate an active research program with global reach, likely involving multiple research teams working on interconnected projects related to his core interests in moral psychology and scientific methodology.

David Stillwellمشاهده پروفایل

استاد

• Psychometrics
• Computational Social Science
• Big Data Analytics
• +۳ مورد دیگر

David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.

• Psycholinguistics
• Cognitive Psychology
• Speech Prosody
• +۴ مورد دیگر

Andrés Buxó-Lugo serves as an Assistant Professor of Psychology at the University at Buffalo, where he directs the Language Processing and Computation Lab. His research investigates the cognitive mechanisms underlying language production, comprehension, and acquisition with a specialized focus on speech prosody—the rhythm, intonation, and intensity patterns in speech—and their role in human communication. His primary research interests include psycholinguistics, cognitive psychology, speech prosody, language production, language comprehension, language acquisition, and computational linguistics. He examines how listeners integrate diverse linguistic cues during speech processing, how individuals learn unfamiliar constructions like non-native pronunciations or novel prosodic patterns, and the cognitive basis of durational changes in speech. His work also explores how communicative context shapes prosodic production and how higher-level linguistic information aids prosodic structure parsing. Analysis of his 15 most recent publications (2019-2025) reveals consistent interdisciplinary work bridging cognitive science, linguistics, and computational modeling. Key trends include phonological representation studies, speech planning mechanisms, intonation adaptation across talkers, lexical representation structures, and the integration of input expectations in syntactic parsing. His research demonstrates significant methodological diversity, incorporating experimental paradigms, computational modeling, and acoustic analysis to unravel language processing complexities. As director of the Language Processing and Computation Lab at the University at Buffalo, Buxó-Lugo leads research initiatives focused on developing computational models of language processing while investigating the cognitive foundations of speech and prosody through empirical experimentation and theoretical innovation.

José Eduardo Villalobos Grailletمشاهده پروفایل

استادیار

• Spanish Film Studies
• Spanish Medieval Literature
• Latin American and Caribbean Studies
• +۵ مورد دیگر

José Eduardo Villalobos Graillet is an Assistant Professor of Spanish at Idaho State University , specializing in Modern Peninsular Literature and Culture with a focus on visual culture (film and television) . He previously held a position as Spanish Instructor at Wilfrid Laurier University in the Department of Languages and Literatures. Research Areas : Spanish Film Studies, Spanish Medieval Literature, Latin American and Caribbean Studies, Teaching Spanish as a Foreign Language, Visual Culture, and Critical Pedagogy. His scholarly work examines film and television adaptations of 'La Celestina' , analyzing censorship dynamics across Francoist Spain, the Democratic Transition, and contemporary Spain. He also contributes to Spanish pedagogy , developing technological tools like Lang-8 for written expression and culturally immersive teaching units on topics such as winter festivals and Caribbean music. His publications span both critical academic analysis and methodological innovations for language instruction. Key Themes in Publications : Adaptation fidelity, political censorship, intercultural pedagogy, and the role of digital platforms in language learning.

Ellen Riloffمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +۳ مورد دیگر

Ellen Riloff serves as Department Head and Professor in the Department of Computer Science at the University of Arizona, where she leads research at the intersection of natural language processing (NLP) and artificial intelligence. Her work bridges theoretical advancements with real-world applications in social computing, planetary science, and crisis response systems. Education: Ph.D. in Computer Science, University of Massachusetts at Amherst (1994) Research Focus: Dr. Riloff specializes in affective computing and information extraction , developing techniques to recognize emotion, social cues, and embodied expressions in text. Her methodologies frequently employ bootstrapping, stacked learning, and semantic lexicon induction. Recent projects address crisis informatics (e.g., social cue recognition in emergencies) and interdisciplinary applications like the Mars Target Encyclopedia for planetary science data extraction. Publication Trends: Analysis of her 15 most recent publications (2021–2025) reveals three dominant trajectories: (1) affective event modeling in social contexts with applications to crisis response; (2) domain-specific NLP for planetary science and food systems; and (3) advanced language model techniques including retrieval-augmented generation and multi-view prompting. Her work increasingly integrates deep learning with traditional linguistic features. Grants and Leadership: Dr. Riloff has directed multiple NSF-funded projects, including RI: Small: Recognizing Implicit Personal States in Natural Language (2016) and RI: Small: Acquiring Domain Knowledge from Text through Cooperative Bootstrapping (2010). These initiatives pioneered bootstrapping frameworks for affective event recognition and information extraction. She also co-organized the Workshop on Pattern-based Approaches to NLP (2023), highlighting her leadership in advancing hybrid NLP methodologies. Collaborative Infrastructure: She co-developed the Mars Target Encyclopedia—a large-scale information extraction system that processes planetary science literature to create structured databases of Mars surface targets. This project demonstrates her commitment to building reusable scientific infrastructure through NLP.

Aditya Joshiمشاهده پروفایل

مدرس ارشد

• Natural Language Processing (NLP)
• Machine Learning
• Cybersecurity
• +۴ مورد دیگر

Dr. Aditya Joshi is a Senior Lecturer in the School of Computer Science & Engineering at the University of New South Wales (UNSW). He specializes in Natural Language Processing (NLP), with a focus on sarcasm detection, dialectal NLP, and ethical AI applications in public health and cybersecurity. He joined UNSW in 2023 following industry roles at SEEK, Notiv, and Fractal Analytics, where he developed NLP systems for recommendation engines and meeting analytics. His research has garnered over 3,000 citations (h-index 26) and secured $3.1M in grants, including Defence Trailblazer and Google exploreCSR awards. Education: Joint PhD (2018) from IIT Bombay (India) and Monash University (Australia); MTech in CSE (2011) from IIT Bombay. Research Interests: Making NLP models robust for non-native English speakers and the LGBTI+ community, algorithmic enhancements to transformers, and applications in public health, cybersecurity, and societal issues. His work spans epidemic intelligence (collaborations with EPIWATCH and IFCYBER), cybersecurity tools like AuditNet, and inclusive AI initiatives such as queer-inclusive workshops funded by Google. He designed UNSW's new NLP course (COMP6713) and co-authored a Wiley textbook on NLP. Notable grants include the A$1.4M 'Comprehensive Defence Data Platform' (Lead CI) and A$92K Google exploreCSR grant for benchmarking dialectal sentiment. His awards include the Best PhD Thesis from IITB-Monash and Best Paper accolades at FAccT 2023 and MoMM 2020. He supervises projects on kernel-based attention reformulation, prompt-based sarcasm detection, and multilingual small-scale LLMs. His service roles include Executive Committee Member at ALTA and arXiv moderator for computational linguistics.

David Yarowskyمشاهده پروفایل

استاد

• Natural Language Processing
• Spoken Language Systems
• Machine Translation
• +۳ مورد دیگر

David Yarowsky is a Professor in the Department of Computer Science at Johns Hopkins University. He leads the Low-Resource Languages Lab and is a member of the Center for Language and Speech Processing. Harvard University - Bachelor of Arts in Computer Science (1987) University of Pennsylvania - Master of Science in Engineering (1993) and PhD in Computer and Information Science (1996) Research Interests : Natural Language Processing, particularly focusing on word sense disambiguation, minimally supervised induction algorithms, multilingual NLP, and machine translation for low-resource languages. His work bridges theoretical linguistics with practical applications in information retrieval, spoken language systems, and very large text databases. Article Trends : His publications emphasize cross-lingual transfer learning, universal morphology, and low-resource language technologies. Key themes include morphological analysis, computational etymology, and adversarial speech recognition. Scientific Awards : ACL Fellow (2013-present) Professional Service : Served as Treasurer and Executive Committee Member of the Association for Computational Linguistics, Secretary-Treasurer of SIGDAT, and chair/co-chair of major conferences including EMNLP 2013, IJCNLP 2011, and ACL 2014. Labs & Teams : Director of the Low-Resource Languages Lab at JHU and active member of the Center for Language and Speech Processing.

Aditi Lahiriمشاهده پروفایل

استاد پژوهشی

• Phonology
• Phonetics
• Historical Linguistics
• +۳ مورد دیگر

Professor Aditi Lahiri is a Research Professor of Linguistics at the University of Oxford's Faculty of Linguistics, Philology and Phonetics. She holds positions in the Centre for Linguistics and Philology and directs the Language and Brain Laboratory. Her research focuses on phonology, phonetics, historical linguistics, psycholinguistics, and neurolinguistics, with special expertise in metrical theory, feature theory, and morphological complexity. Education : BA (Mathematics, Economics) from University of Calcutta (1971); MA (Comparative Philology) from University of Calcutta (1973); DPhil (Comparative Philology and Linguistics) from University of Calcutta (1979); PhD (Linguistics) from Brown University (1982). Research Interests : Her work spans experimental and theoretical linguistics, including prosodic phrasing, lexical representation, language change, and neural correlates of phonological processing. Key areas include: Metrical phonology and historical sound change Cognitive representation of speech sounds Morphological complexity in the mental lexicon Speech perception and production mechanisms Recent Research Trends : Over the past decade, her publications emphasize cross-disciplinary approaches, integrating experimental psycholinguistics with computational modeling (e.g., ERC-funded projects on morphophonological alternations). Recent work explores language processing in multilingual speakers and the neural basis of phonological features. Awards : Recipient of prestigious awards including the Leibniz Prize (2000), Max Planck Research Prize (1994), and Fellow of the British Academy (2010). She serves as Vice President of the British Academy and President of the Philological Society. Grants & Leadership : Secured over €8 million in research funding, including ERC Advanced Grants (e.g., MORPHON, WORDS). Directed the DFG-funded Sonderforschungsbereich 471 (2006-2008). Established key partnerships in India through endowed scholarships and academic outreach initiatives. Labs & Collaborations : Leads the Language & Brain Laboratory, collaborating internationally on projects combining neurolinguistic methods with historical and experimental linguistics. Supervised numerous PhD students who have become leading academics globally.

• Semantics
• Language Technology
• Recommender Systems
• +۵ مورد دیگر

Jon Atle Gulla is a Professor at NTNU and Director of the Norwegian Research Centre for AI Innovation (NorwAI). He holds academic leadership roles, including former Head of the Department of Computer Science and Informatics at NTNU. His expertise spans Semantics, Language Technology, Recommender Systems, and AI-driven innovation. He has nearly 150 international publications and advised over 100 students across MSc, PhD, and postdoctoral levels. Education: MSc in Computer Science (1988), PhD in Computer Science (1993) from Norwegian Institute of Technology (NTH) MSc in Linguistics (1995), University of Trondheim MSc in Management (Sloan fellowship, 2003), London Business School Research interests focus on Semantics and Language Technology applied to Recommender Systems, Information Retrieval, and Text Analysis. He explores AI-based innovations in digitalization and entrepreneurship, advising industry on AI adoption and commercialization. Notable projects include Big Data collaborations with DNB, RecTech for news recommendation, and Trondheim Analytica analyzing political texts/social media. Publications emphasize AI applications in news recommendation, political text analysis, and Scandinavian language models. His work addresses ethical AI, copyright implications, and cross-lingual NLP challenges. Awards: Member of the Royal Norwegian Society of Arts and Sciences. Advising/grants: Supervised 30 PhD students and 70 MSc students. Involved in startups like Fast Search & Transfer (acquired by Microsoft) and Mito.ai/Strise.ai. Active in reviewing for journals like Data & Knowledge Engineering and conferences like ACL. Labs/teams: Leads NorwAI, co-founder of INRA and NOBIDS workshops. Collaborates with industry and academia on AI-driven solutions.

Stephen Bachمشاهده پروفایل

استادیار

• Machine Learning
• Weak Supervision
• Probabilistic Soft Logic
• +۷ مورد دیگر

Stephen Bach is an Assistant Professor in the Computer Science Department at Brown University, where he leads the BATS (Bach's Awesome Team of Students) research group. His research focuses on improving how humans teach computers through programmatic weak supervision and methods for learning from fewer examples like zero-shot and few-shot learning. His primary research interests include weak supervision, data programming, probabilistic soft logic (PSL), statistical relational learning (SRL), information extraction, zero-shot learning, and few-shot learning. Bach's work often focuses on exploiting high-level, symbolic or semantically meaningful domain knowledge, with applications in information extraction, image understanding, scientific discovery, and data science. Bach's recent publications show a strong focus on language models, weak supervision techniques, and multimodal learning, particularly examining the capabilities and limitations of models like CLIP. His research has increasingly emphasized practical applications in low-resource settings and cross-lingual scenarios. Best Paper Award at NeurIPS Workshop on Socially Responsible Language Modelling Research (SoLaR) 2023 Larry S. Davis Doctoral Dissertation Award Selected for oral presentation at ICLR 2024 Best of VLDB 2018 paper selection Bach advises numerous Ph.D., Master's, and undergraduate students, many of whom have gone on to positions at leading tech companies, research institutions, and graduate programs. His research group has developed several influential frameworks including Snorkel (for weak supervision), PSL (Probabilistic Soft Logic), T0 (for zero-shot task generalization), ZSL-KG (for zero-shot learning with knowledge graphs), TAGLETS (for semi-supervised learning with auxiliary data), and WISER (for programmatic weak supervision in sequence tagging).

Mustafa GulTekinمشاهده پروفایل

دانشیار

• Turkish Folklorics
• Turkish Folklore
• Folk Literature
• +۵ مورد دیگر

Associate Professor Mustafa GulTekin serves at Gaziantep University in the Faculty of Arts and Sciences , affiliated with both the Department of Turkish Language and Literature and the Department of Turkish Folklore . He holds a Doctorate in Turkish Folklorics (2010) from Ege University and has been teaching since 2004. Education: PhD in Turkish Folklorics, Ege University (2004-2010) MA in Turkish Language and Literature, Gaziantep University (2002-2004) Bachelor in Turkish Language and Literature, Balikesir University (1997-2001) Research Focus: Specializes in Turkic world fairy tales, oral literature analysis, minstrelsy traditions, and intangible cultural heritage. His work intersects folklore methodology with performance studies and cultural anthropology. Projects: Led/managed national projects including TUBITAK-funded research on Diyarbakir Alevi ocaks (2013-2016), Uzbek cultural studies in Gaziantep (2012-2015), and applied Karagöz education programs (2009-2010). Administrative Roles: Head of Department (2014-2017, 2012-present) Deputy Head of Department (2017-present, 2011-2012) Director of Research and Application Center (2012-2016)

Christiane Fellbaumمشاهده پروفایل

استاد

• Theoretical Linguistics
• Computational Linguistics
• Corpus Linguistics
• +۳ مورد دیگر

Christiane Fellbaum serves as Lecturer with Rank of Professor in Princeton University's Program in Linguistics and Department of Computer Science, where she has been a senior research scholar since returning in 1987 after postdoctoral work at the University of Paris. Her foundational contributions to computational linguistics include co-developing WordNet and co-founding the Global WordNet Association. Her educational background features: Ph.D. in Linguistics, Princeton University (1980) Postdoctoral Fellowship, University of Paris Fellbaum's research integrates theoretical linguistics with computational applications, specializing in lexical semantics, corpus analysis, and semantic network construction. Her work bridges computational linguistics and lexicography through projects like WordNet and Medical WordNet, with recent emphasis on multilingual resources, bias analysis in embeddings, and African language technology development. She examines semantic phenomena including idioms, verb alternations, and emotion scales through both corpus linguistics and formal ontological frameworks. Analysis of her publication trajectory reveals sustained innovation in lexical resource development since the 2000s, evolving from foundational WordNet studies to contemporary work on large language model adaptation and social bias mitigation. Current research demonstrates increasing interdisciplinary collaboration across NLP, cognitive science, and social justice applications. Her scientific recognition includes: Wolfgang Paul Prize from the German Humboldt Foundation (2001) Antonio Zampolli Prize (2006) Fellbaum has secured continuous research funding from the U.S. National Science Foundation, European Union Seventh Framework, Frank Moss Foundation, and Tim Gill Foundation. She actively mentors junior researchers through Princeton's Independent Work seminars and hosts the North American Computational Linguistics Olympiad (NACLO), while leading major international collaborations including the KYOTO and SIERA European projects. As director of the WordNet project and permanent fellow at the Berlin-Brandenburg Academy of Sciences, she maintains leadership in global lexical resource initiatives through the Princeton Language and Intelligence initiative and Natural and Artificial Minds research group.