جست‌وجوی استاد و پژوهشگر

• Formal Semantics
• Computational Semantics
• Natural Language Processing
• +۴ مورد دیگر

Umut Özge is an Assistant Professor at the Department of Cognitive Science, Graduate School of Informatics at Middle East Technical University (METU). His research focuses on formal and computational semantics, particularly in natural language understanding. He leads the Laboratory for Formal and Computational Semantics at METU’s Informatics Institute. Özge teaches advanced courses such as COGS 501: Linguistics and Formal Languages , COGS 502: Symbols and Programming , and COGS 543: Computational Semantics . His work bridges syntax, semantics, and discourse analysis with a focus on Turkish and cross-linguistic studies. Research interests include the computational modeling of linguistic phenomena, formal semantics, and the interface between syntax and semantics. He has published widely on topics such as Turkish comparatives, discourse structure, and inferable indefinites. His GitHub repositories reflect contributions to computational linguistics tools like SmallWorld , a parser for Combinatory Categorial Grammar. No scientific awards or grants are explicitly mentioned in the provided texts. His academic contributions are centered on theoretical linguistics with a computational lens, emphasizing algorithmic structures in cognition and formal language systems.

• Machine Translation
• Multilingual NLP
• Bias and Fairness in NLP
• +۶ مورد دیگر

Christian Hardmeier is an Associate Professor in Data Science at the IT University of Copenhagen, specializing in Natural Language Processing (NLP) and computational linguistics. His research spans machine translation, multilingual NLP, bias and fairness, coreference resolution, and discourse analysis. Key research areas include: Cross-lingual pronoun prediction and anaphora resolution Discourse structure in multilingual contexts Ethical considerations in NLP (dehumanizing language, bias statements) Low-resource language processing and dataset creation Evidential deep learning for uncertainty estimation His recent publications focus on Egyptian Arabic discourse relations, uncertainty modeling, and biomedical translation. He contributes to community efforts through the Pioneer Centre for Artificial Intelligence and SafeNet initiatives. Notable recognition includes an Outstanding Paper Award at the ML Evaluation Standards Workshop 2022. He actively participates in assessment committees and NLP community-building activities.

Jana Strakováمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Deep Learning
• Multilingual Text Processing
• +۳ مورد دیگر

Jana Straková is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. Her work focuses on advancing natural language processing techniques for multilingual applications, particularly in deep learning architectures for linguistic analysis. Her research interests span Natural Language Processing , Deep Learning , and Multilingual Text Processing with specialization in named entity recognition, dependency parsing, and morphological analysis. She has pioneered neural network approaches for tasks like diacritics restoration and grammar error correction, with particular emphasis on Czech language processing while extending methodologies to Latin and other languages. Analysis of her publication record from 2019-2025 reveals consistent innovation in NLP tool development, particularly the NameTag and UDPipe systems. Her work demonstrates strong integration of contextual embeddings with linguistic resources, showing increasing focus on cross-lingual transfer and historical language processing in recent years. As part of the ÚFAL research group, she collaborates extensively with Milan Straka and Jan Hajič on developing open-source NLP pipelines. Her projects include creating large-scale datasets like CWRCzech for web relevance ranking and advancing ontology engineering through LLM-augmented approaches.

• Dependency Syntax
• Morphological Analysis
• Computational Linguistics
• +۷ مورد دیگر

Daniel Zeman is an Associate Professor at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on computational linguistics, particularly morphological analysis and dependency syntax of natural languages. He co-leads the Universal Dependencies project, a major international effort to create cross-linguistically consistent treebank annotation that has become a de-facto standard in the field, currently covering 148 languages with biannual releases. Dr. Zeman's research interests include: Computational models of morphology and syntax Multilingual approaches working across typologically different languages Cross-lingual techniques supporting disadvantaged languages with limited resources Harmonized data resources for multilingual processing Deep syntactic relations, semantic roles, and coreference His publication record shows a consistent focus on universal frameworks for linguistic annotation. The Universal Dependencies project, which he co-leads, represents a paradigm shift in how linguistic resources are created and shared across languages. His work bridges theoretical linguistics with practical language technology applications, with particular emphasis on making NLP accessible for resource-poor languages through cross-lingual transfer techniques. Scientific recognition includes: Fulbright-Masaryk Fellowship (2006-2007) at University of Maryland Dean's award for best monograph at the Faculty of Mathematics and Physics (2018) Senior area chair for LREC-COLING 2024 (CORE B conference) Area chair for ACL 2020 (CORE A* conference) Dr. Zeman has supervised 19 graduate students to completion (1 PhD, 13 Master's, 5 Bachelor's) as of March 2024. He leads several major research initiatives including Universal Dependencies (since 2014), CorefUD (since 2021), and is Vice-Chair of COST Action UniDive (2022-2026). His current projects span historical linguistics (HiČKoK, 2023-2026) to language understanding from syntax to discourse (LUSyD, 2020-2024). He has developed key linguistic resources including Interset (tagset conversion framework), HamleDT (harmonized treebanks), and Universal Dependencies. With over 5,468 citations and an h-index of 28, his work has significantly shaped modern computational linguistics methodology.

• First Language Acquisition
• Typical and Atypical Language Development
• Genetic Disorders
• +۸ مورد دیگر

Christiana Christodoulou is a Research Assistant Professor of Linguistics in the Department of Modern Languages at the University of Mississippi , with a focus on experimental and theoretical linguistics. She teaches courses such as Language and Mind , Psycholinguistics , and Syntax . B.A. in Linguistics, Aristotle University of Thessaloniki (1999) M.A. in Linguistics, University of Essex (2001) DB.A. in English Language and Literature, Aristotle University of Thessaloniki (2011) Ph.D. in Linguistics, University of British Columbia (2011) Her experimental research explores First Language Acquisition , Typical and Atypical Language Development , Genetic Disorders , and Neurolinguistics , particularly in Down Syndrome populations. The theoretical research focuses on Morphology , Syntax , and Functional Categories (e.g., case, tense, aspect) as well as Subjunctives and Interface Effects across linguistic domains. Christodoulou’s publications span topics from morphosyntactic development in Down Syndrome children to subjunctive clauses, coreference in Greek, and phonetic analysis of Cypriot Greek. Her work frequently intersects with Developmental Psychology , Neurolinguistics , and Formal Grammar . Marie Skłodowska-Curie Global Grant (2017–2021) Marie Curie Career Integration Grant (2012–2015) Canadian Commonwealth Scholarship Program (2005-2010) AHEPA Award for Outstanding Academic Achievement and Community Service (2009) Fieldwork and Research Award (2008) Her interdisciplinary work involves collaborations in Clinical Linguistics , Genetic Disorders , and Language Documentation , particularly in endangered Indigenous languages like Wenatchi.

• Information Retrieval
• Natural Language Processing
• Dialogue Systems
• +۱۰ مورد دیگر

Prof. Dr. Udo Kruschwitz is a Full Professor of Information Science at the University of Regensburg since July 2019. Previously, he held a professorship at the School of Computer Science and Electronic Engineering, University of Essex. His research bridges Information Retrieval (IR) and Natural Language Processing (NLP), focusing on adaptive search systems, dialogue modeling, gamification for annotation, and ethical issues in search technology. Key projects: COURAGE (Volkswagen Stiftung-funded virtual companion for social media safety), SENSEI (Horizon 2020 conversational analytics), and collaborative works with industry (Signal Media, Minority Rights Group). Research themes include: IR/NLP integration Conversational systems Gamified annotation platforms (Phrase Detectives) Arabic language resources Privacy-preserving search strategies His publications span query suggestion algorithms, crowdsourcing validation techniques, and hate speech detection. He has co-organized major events like Search Solutions and GamifIR workshops, and founded the Data Science @ Regensburg meetup. Scientific awards include the 2015 InnovateUK Knowledge Transfer Partnership Project of the Year. Current teaching includes Advanced Topics in IR and Natural Language Engineering modules. Serves as Senior Academic Advisor for Signal AI and mentor for numerous doctoral candidates.

Milan Strakaمشاهده پروفایل

استاد

• Machine Learning
• Artificial Neural Networks
• Deep Learning
• +۱۲ مورد دیگر

Milan Straka is a professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University, Prague. His research focuses on machine learning, artificial neural networks, deep learning, and structured prediction with applications to natural language processing (NLP) tasks including POS tagging, dependency parsing, named entity recognition, and optical music recognition. University: Charles University School: Faculty of Mathematics and Physics Department: Institute of Formal and Applied Linguistics Straka has developed several NLP tools like UDPipe and NameTag, contributing to multilingual coreference resolution, Czech grammar error correction, and historical language processing pipelines. His recent work involves contextualized embeddings, semantic parsing, and large-scale dataset creation for Czech NLP tasks. He collaborates on European Language Grid initiatives and has participated in multiple shared tasks (CRAC, MRP, W-NUT). His publications span topics from algorithm design (functional data structures) to modern transformer-based language models (RoBERTa) with emphasis on Czech language resources.

• Computational Linguistics
• Formal Grammar
• Type-Logical Grammar
• +۴ مورد دیگر

Jose Oriol Valentin Fernandez Gallart is a researcher in the Department of Computer Science at the Faculty of Mathematics and Statistics (FME), Polytechnic University of Catalonia (UPC). With a substantial publication record spanning from 2004 to 2017, his work primarily focuses on computational linguistics and formal grammar systems. Dr. Fernandez Gallart's research centers on Type-Logical Grammar (TLG) , Displacement Calculus , and Lambek Calculus , with significant contributions to understanding grammatical formalisms for natural language. His work addresses complex linguistic phenomena including gapping constructions, anaphora resolution, and syntactic discontinuities. He has developed formal systems that bridge theoretical linguistics with computational applications, particularly in parsing algorithms and semantic interpretation. Analysis of his recent publications reveals consistent advancement in computational models of natural language. His research demonstrates how formal mathematical approaches can effectively model complex linguistic structures while maintaining computational tractability. Key contributions include extensions to displacement calculus for handling linguistic discontinuities and comprehensive analyses of Type-Logical Grammar's computational coverage. Dr. Fernandez Gallart has participated in significant research projects including "Aprendizaje Computacional y Comunicación" and "Gestió i Anàlisi de Dades Complexes," demonstrating broader engagement with computational approaches to language and data analysis. His extensive collaboration with Professor Glyn Morrill Verden (21 joint publications) indicates a strong research partnership in formal linguistics.

Andy Kehlerمشاهده پروفایل

استاد

• Pragmatics
• Discourse Interpretation
• Computational Linguistics
• +۵ مورد دیگر

Andy Kehler is a Professor in the Department of Linguistics at the University of California, San Diego (UCSD), where he directs one of the Computational Linguistics Labs. His research focuses on pragmatics, discourse interpretation, and the computational modeling of linguistic phenomena. He has held academic roles including Chair of the Linguistics Department (2009–2014) and Director of Graduate Studies (2016–2018). He teaches courses such as 'Making and Breaking Codes' and 'The Language Code,' and advises graduate students in computational and theoretical linguistics. His lab explores interdisciplinary topics like discourse coherence, coreference resolution, and ellipsis, blending theoretical, computational, and psycholinguistic approaches. Editorial Roles: Academic Editor at PLOS ONE, Review Editor at Frontiers in Language Sciences, and Associate Editor at Journal of Logic and Computation. Teaching: Extensive record since 2000, including courses on pragmatics, computational linguistics, and semantics. Research Interests: Explores how discourse coherence drives linguistic interpretation, with emphasis on anaphora, ellipsis, and Bayesian models of pronoun resolution. His work bridges formal semantics, computational methods, and experimental psycholinguistics. Recent Articles: Focus on ellipsis theory, LLMs' pragmatic competence, and Bayesian models of German pronouns. These studies advance understanding of discourse structure and computational linguistics applications. Awards & Grants: Not explicitly listed, but his editorial roles and extensive publications reflect scholarly recognition. Active in securing grants for lab research and student support. Labs/Teams: Leads UCSD Computational Linguistics Lab, collaborating on projects like LLM analysis and discourse modeling. Engages with international academic networks through invited talks and visiting fellowships.

Peter Jenksمشاهده پروفایل

دانشیار

• Syntax
• Crosslinguistic Variation
• Syntax-Semantics Interface
• +۷ مورد دیگر

Peter Jenks is an Associate Professor in the Department of Linguistics at the University of California, Berkeley. He holds a Ph.D. in Linguistics from Harvard University, an M.A. from UC San Diego, and an A.B. from Dartmouth College. His research bridges syntax, semantics, and phonology, with specialization in East/Southeast Asian and African languages, particularly Thai and Moro. Research focuses on crosslinguistic variation in noun phrases, definiteness, quantification, and phonological domains. Recent work examines syntax-phonology interactions and indexed definiteness in understudied languages. Publications demonstrate consistent focus on interface phenomena, with recent articles exploring hyperraising in Moro (2025), definiteness in Guébie (2024), and syntactic quantification. His 55+ publications show strong emphasis on empirical fieldwork and theoretical innovation. UC Berkeley Distinguished Teacher Award (2023) Certificate of Distinction in Teaching, Harvard University (2008-2010) Outstanding Graduate in Linguistics, Dartmouth College (2004) Advises 16+ graduate students and serves on dissertation committees. Secured NSF and Hellman Faculty Fellowships. Co-directs the Moro Story Corpus project and co-authored a Moro grammar with Language Sciences Press.

Ali Emamiمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• Common Sense Reasoning
• +۵ مورد دیگر

Ali Emami is an Assistant Professor in the Department of Computer Science at Brock University (Canada), with a tenure-track position at Emory University starting Fall 2025. His research focuses on natural language processing, machine learning, and AI ethics, particularly evaluating large language models' reasoning and societal impacts. He holds a PhD in Computer Science from McGill University/Mila (2021), with prior degrees from McGill in MSc (2016) and BSc (2014). Research interests include: Natural Language Processing (NLP) and Machine Learning Ethics, bias, and fairness in AI Language understanding and generation AI interpretability and reliability Computational social science Recent work emphasizes benchmarking LLMs' reasoning capabilities (e.g., NYT-Connections, STOP!) and addressing societal bias through books. Notable achievements include the COLING 2025 Best Dataset Award and the EMNLP 2024 Social Impact Award . He has supervised multiple undergrad and graduate researchers, with a focus on fostering collaborative projects. His lab explores personalized narrative generation (MirrorStories) and tool-augmented LLM evaluation frameworks (TALE). Upcoming roles include a talk at the FirstOntario Performing Arts Centre on LLMs' societal mirrors and a 2024 teaching award from Brock’s Faculty of Mathematics & Science.

Nicholas Fleisherمشاهده پروفایل

دانشیار

• Formal Semantics
• Syntactic Theory
• Comparative Structures
• +۱ مورد دیگر

Nicholas Fleisher is Associate Professor and Chair of Linguistics at University of Wisconsin-Milwaukee, holding PhD and MA from UC Berkeley and BA from Yale. Teaches syntax, semantics, and linguistic theory. Research examines compositional semantics within syntactic structures, particularly negation, quantification, and comparative morphology. Recent work analyzes compulsory binding phenomena, factive environments in degree constructions, and nominal quantifier behavior. Publications demonstrate rigorous formal analysis of syntactic-semantic interfaces, with theoretical contributions to negation scoping, tough-construction adjectival behavior, and embedded question semantics.

• Natural Language Processing
• Software Engineering
• Artificial Intelligence

Vincent Ng is a Professor of Computer Science at UT Dallas' Erik Jonsson School. His research focuses on Natural Language Processing, Software Engineering, and AI. He obtained his PhD from Cornell University (2004) and BS from Carnegie Mellon University (1997). His research explores NLP techniques applied to software engineering challenges, including automated bug reporting and code analysis. Recent publications show strong emphasis on legal AI, educational technology, and multimodal systems. Major awards include: ICSE'24 ACM SIGSOFT Distinguished Paper Award (2024) AAAI-20 Blue Sky Idea Award (2020) ECS Outstanding Faculty Teaching Award (2019) He advises doctoral students including Jing Lu and Oscar Chaparro, and leads projects supported by NSF grants. Affiliated with the Center for Machine Learning and Language Processing.

Amit Almorمشاهده پروفایل

دانشیار

• Psycholinguistics
• Neuroimaging
• Language Processing
• +۳ مورد دیگر

Amit Almor is Associate Professor in Psychology and Director of the Experimental Psychology Program at the University of South Carolina. His research examines language processing using neuroimaging, with focus on discourse reference, aging, and dementia. Key investigations include neural mechanisms of pronoun/anaphor processing, spatial language cognition, and conversational interference effects. Clinical work explores linguistic markers in Alzheimer's and Huntington's disease. Funded by NSF and NIH grants including 'The neural basis of processing discourse reference'. Teaches graduate seminars in Cognitive Neuroscience, Psycholinguistics, and Bayesian Modeling. Recipient of multiple teaching commendations.

Stuart M. Shieberمشاهده پروفایل

استاد

• Computational Linguistics
• Computer Science
• Artificial Intelligence
• +۷ مورد دیگر

Stuart M. Shieber is the James O. Welch, Jr. and Virginia B. Welch Professor of Computer Science at Harvard University's School of Engineering and Applied Sciences (SEAS), with affiliations in Linguistics and Philosophy. He specializes in computational linguistics, exploring intersections of computer science, linguistics, and artificial intelligence. His research spans natural language processing, formal grammar, machine translation, and interdisciplinary areas like automated graphic design, privacy mechanisms, and computational biology. Education: AB summa cum laude in Applied Mathematics (Harvard College, 1981); PhD in Computer Science (Stanford University, 1989) Research Interests: Synchronous grammars, psycholinguistic modeling, privacy-preserving auctions, and open-access publishing policies. Awards: Presidential Young Investigator Award (1991), multiple fellowships, and honorary chairs like Harvard College Professorship (2001). Courses: CS51 (Abstraction and Design), CS187 (Computational Linguistics), and Empirical and Mathematical Reasoning courses. Grants & Roles: Founder of the Center for Research on Computation and Society, director of Harvard's Office for Scholarly Communication, and co-founder of Cartesian Products Inc. and Microtome Publishing. His work on synchronous tree-adjoining grammars and the philosophical underpinnings of the Turing Test has been seminal. Recent publications address neural language models, causal syntax analysis, and conversational AI.