جست‌وجوی استاد و پژوهشگر

Roberto Navigliمشاهده پروفایل

استاد

• Natural Language Processing
• Multilingual Natural Language Understanding
• Large Language Models
• +۵ مورد دیگر

Roberto Navigli is a Full Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where he leads the Sapienza NLP Group. He has held academic positions at Sapienza since 2007, progressing from Researcher to Associate Professor, and now Full Professor. Navigli is internationally recognized for his groundbreaking work in multilingual natural language processing and computational semantics. His research spans multiple areas within Natural Language Processing, with a particular focus on multilinguality , lexical semantics (Word Sense Disambiguation and induction), sentence-level semantics (Semantic Role Labeling and Semantic Parsing), and Large Language Models . As the leader of the Minerva LLM project, he pioneered the development of the first pretrained LLM in Italian. His creation of BabelNet, the largest multilingual encyclopedic computational dictionary covering 271 languages and about 14 million concepts, represents a landmark achievement in computational linguistics. Professor Navigli's recent publications demonstrate a strong focus on advancing multilingual capabilities of language models, addressing challenges in semantic understanding across languages, and developing robust evaluation frameworks. His work on Italian LLM optimization, lexical ambiguity in machine translation, and cross-lingual safety gaps reflects his commitment to building more accurate and reliable language technologies that work effectively across diverse linguistic contexts. AAAI Fellow (2025) EurAI Fellow (2024) ELLIS Fellow (2024) ACL Fellow (2023) Outstanding Paper Awards at ACL 2024, ACL 2023, and NAACL 2021 Best Resource Paper Award at ACL 2022 Prominent Paper Awards from the Artificial Intelligence Journal (2023, 2017) META Prize 2015 for BabelNet Professor Navigli has successfully secured substantial research funding, including two prestigious ERC Grants (MultiJEDI ERC Starting Grant 2010-2016 and MOUSSE ERC Consolidator Grant 2017-2023, totaling around 3 million euros), PI of PRIN 2017 and PRIN 2020 projects (overall 1.4 million euros), and a Google Focused Research Award (around 300k$). He has mentored over 30 PhD students, many of whom have gone on to successful careers in academia and industry. His leadership extends to major international conferences, serving as General Chair of ACL 2025 and Program Co-Chair of ACL-IJCNLP 2021. As the director of the Sapienza NLP Group and co-leader of the Transversal Project on Large Language/Multimodal Models in the FAIR (Future Artificial Intelligence Research) project, Professor Navigli oversees a vibrant research ecosystem focused on advancing the state-of-the-art in natural language understanding across languages. His spinoff company, Babelscape, translates academic research into practical applications for industry.

• deep learning
• convolutional neural network
• deep features
• +۵ مورد دیگر

Fabrizio Falchi is a researcher at the Artificial Intelligence for Media and Humanities (AIMH) Lab of the Institute of Information Science and Technologies (ISTI) within Italy's National Research Council (CNR). He also maintains an associate position at the Biorobotics Institute of Scuola Superiore Sant'Anna. His work focuses on developing advanced multimedia retrieval systems, with the VISIONE platform being his most notable contribution, which has won international competitions including the Video Browser Showdown in 2024 and placed second in 2023. Falchi's educational background includes: Ph.D. in Information Engineering from University of Pisa (Italy) Ph.D. in Informatics from Faculty of Informatics of Masaryk University of Brno (Czech Republic) M.B.A. from Scuola Superiore Sant'Anna in Pisa His research spans deep learning, convolutional neural networks, deep features extraction, similarity search algorithms, distributed indexing systems, multimedia information retrieval, computer vision applications, and peer-to-peer systems. Falchi has made significant contributions to fine-grained visual understanding, cross-modal retrieval (particularly image-text matching), and robustness of deep learning systems against adversarial attacks. His work demonstrates a strong focus on practical applications of these technologies, particularly in video retrieval systems and safety monitoring solutions. Analysis of Falchi's recent publications reveals a strong focus on video and image retrieval systems, with the VISIONE platform being central to his work. His research shows increasing emphasis on fine-grained understanding in computer vision, cross-modal retrieval, and addressing practical challenges like cross-resolution face recognition. Recent work demonstrates innovation in making these systems more efficient through techniques like knowledge distillation (ALADIN) and leveraging virtual worlds for training data. His publications consistently bridge theoretical advances with practical applications in surveillance, safety monitoring, and multimedia search. Falchi's work has received significant recognition: Best paper award at CBMI 2024 for 'Is ClLIP the main roadblock for fine-grained open-world perception?' VISIONE 2024 won the Video Browser Showdown competition in Amsterdam VISIONE obtained second place at Video Browser Showdown 2023 in Bergen Best Paper Award for 'Learning Safety Equipment Detection using Virtual Worlds' at CBMI 2019 Falchi collaborates extensively with researchers at ISTI-CNR, particularly within the AIMH Lab. His work on VISIONE involves collaboration with Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. As co-chair of Ital-IA 2023, the 3rd National Conference on Artificial Intelligence, he plays an active role in the academic community. He is a member of ACM (since 2012), the Computer Vision Foundation, the Italian Association for Computer Vision Pattern Recognition and Machine Learning (CVPL), and the CINI Lab on Artificial Intelligence and Intelligent Systems. Falchi is a key member of the Artificial Intelligence for Media and Humanities (AIMH) Lab at ISTI-CNR, where he leads research on video retrieval systems. The lab has developed the award-winning VISIONE platform, which combines multiple scientific results in content-based video retrieval. His team focuses on developing systems that enable users to search for target videos using textual prompts, drawing objects and colors, or images as query examples. The lab's work demonstrates strong interdisciplinary collaboration, bridging computer science with practical applications in media, safety monitoring, and urban environments.

• Neurophysiology
• Social Cognition
• Motor System Physiology
• +۳ مورد دیگر

Prof. Maria Alessandra Umiltà is an Associate Professor of General Physiology at the University of Parma’s Department of Food and Drug Sciences. She holds adjunct positions at Columbia University’s Department of Art History and Archaeology (since 2010) and has held visiting roles at University College London. Her research focuses on the cortical motor system’s role in cognitive functions, social cognition, and embodied perception. She has contributed to projects like NeuroProbes and NEUROBOTICS, advancing technology for neural recording. Education: BSc in Biological Sciences (University of Bologna, 1996) PhD in Neuroscience (University of Parma, 2000) Research Interests: Prof. Umiltà investigates how motor systems underlie higher cognitive functions, including action understanding, emotional perception, and aesthetic evaluation. Her work bridges neuroscience with art, film, and social interaction, employing EEG, fMRI, and behavioral studies. Recent studies explore trauma’s impact on social cognition and embodiment in cinematic experiences. Articles Trends: Recent publications emphasize embodied cognition’s role in aesthetic judgment, emotional processing, and motor inhibition in language. Key themes include cross-modal correspondences, trauma’s neurobiological effects, and sensorimotor mechanisms in film perception. Grants & Projects: EU-funded NeuroProbes and NEUROBOTICS projects (neural interface tech) PRIN projects on motor cognition and mirror systems Labs/Teams: Collaborates with interdisciplinary groups studying art neuroscience, trauma effects, and embodied interaction. Leads studies on sensorimotor foundations of perception at the University of Parma.

Pierluigi Perriمشاهده پروفایل

استاد

• Privacy and Data Protection
• Data Governance
• Information Security
• +۴ مورد دیگر

Pierluigi Perri is a Professor of Advanced Computer Law at the University of Milan's Law School and Vice Coordinator of the Information Society Law Center (ISLC). He is also an Affiliate Fellow at Yale Law School and has held roles such as Non-residential Fellow at Stanford Law School’s Center for Internet and Society and Visiting Researcher at Microsoft. His expertise spans privacy law, data governance, cybersecurity, computer crimes, and digital forensics. Perri holds a PhD in Legal Informatics and IT Law from the University of Bologna and a specialization in Legal Informatics and New Technologies Law. Education: PhD in Legal Informatics and IT Law, University of Bologna Specialization in Legal Informatics and New Technologies Law His research focuses on balancing technological advancements with legal safeguards, including data protection compliance, AI ethics, and cybersecurity legislation. Recent work addresses AI-driven hate speech detection, algorithmic transparency, and the ethical use of open-source intelligence (OSINT). Perri has authored two books on data protection and IT law, alongside numerous scientific publications. Perri’s articles analyze legal frameworks for digital crimes, surveillance ethics, and privacy challenges in emerging technologies. His affiliations include leadership roles in interdisciplinary legal-tech initiatives aimed at addressing global cybersecurity and privacy dilemmas. No scientific awards or grants are explicitly mentioned. He is affiliated with the ISLC, fostering collaboration between legal, technical, and policy experts to tackle digital society challenges.

Marco Scialdoneمشاهده پروفایل

مدرس

• Information Technology Law
• Copyright Law
• Artificial Intelligence Ethics
• +۳ مورد دیگر

Marco Scialdone is a Lecturer at the European University of Rome, specializing in Information Technology Law and Legal Categories related to Technology. He holds a PhD from the same university (2016) and Master’s degrees from La Sapienza University of Rome (2005). A Fellow of the IAIC – Italian Academy of the Internet Code, he focuses on AI ethics, digital rights, and consumer protection law. His research bridges legal frameworks with emerging technologies like artificial intelligence and robotics. Education: PhD in Legal Categories and Technology (2016), European University of Rome Master’s in Computer Law (2005), La Sapienza University of Rome LL.B. in Law (Cum Laude, 110/110), LUISS Guido Carli University Research Interests: His work explores the intersection of law and technology, including AI governance, digital copyright, consumer rights in the digital age, and the legal implications of robotics. He emphasizes ethical AI development, regulatory challenges in digital markets, and public administration digitization. Recent studies analyze algorithmic bias in judicial systems and the legal protection of user-generated content. Publications & Expertise: Authored over 20 publications, including monographs like Living with Artificial Intelligence (2021) and The Legal Protection of User-Generated Content (2018). His articles address topics such as non-human creativity rights, predictive justice models, and cross-border copyright conflicts. He has served as an expert in AI policy (Italian Government’s High-Level Group on AI, 2018) and on the Permanent Advisory Committee for Copyright (2019). Professional Roles: Head of Litigation & Academic Outreach at Euroconsumers (since 2021) Former lecturer at La Sapienza University (2015–2018) and University of Perugia (2007–2012)

Marco Temperiniمشاهده پروفایل

دانشیار

• Technology Enhanced Learning
• Student Modeling
• Teacher Modeling
• +۹ مورد دیگر

Marco Temperini is an Associate Professor of Information Processing Systems at Sapienza University of Rome, where he teaches programming techniques and web programming languages. With a Mathematics degree (1986) and Computer Science PhD (1992) from Sapienza University, he has established himself as a prominent researcher in educational technology. His educational background includes: Laurea in Matematica (1986, Sapienza University of Rome) Dottorato in Informatica (1992, Sapienza University of Rome) Professor Temperini's research focuses on Technology Enhanced Learning, with particular expertise in Student and Teacher Modeling, Adaptive e-learning systems, and the application of Data Mining and Artificial Intelligence techniques to personalize learning content. His work extends to Social and Collaborative Learning environments, Game Based Learning approaches, and innovative Automated and Peer Assessment methodologies. With extensive international collaboration experience, he has coordinated research units and served as work-package leader in numerous projects including EuroCompetence, UnderstandIT, and 9Conversations. His recent publications (2023-2024) reveal a strong trend toward applying advanced AI techniques, particularly large language models, to educational assessment challenges. These works demonstrate increasing sophistication in leveraging natural language processing for automated analysis of student work, concept maps, and programming assignments, while maintaining a strong focus on practical educational applications. Notable scientific recognition includes: 2023 Best Reviewer Award 2023 Best Paper Award 2022 Best Paper Award 2021 Best Paper Award 2018 Best Paper Award at ICWL2018 Membership on the Human-Computer Interaction Awards Committee (2021.6-2024.7) Professor Temperini has been highly active in the academic community, serving as Conference co-Chair for ICWL (2016), Technical Program co-Chair for multiple conferences including MIS4TEL and SETE, and General Chair for MIS4TEL2022 and SETE2023. He is a member of the Steering Committee for ICWL and MIS4TEL conferences and serves on the IEEE Technical Committee on Learning Technology. As an associate editor for the International Journal on Distance Education Technology, Frontiers in Artificial Intelligence, and Computers & Education: Artificial Intelligence, he plays a significant role in shaping research directions in educational technology. His leadership extends to numerous international projects where he has served as coordinator of research units and work-package leader, including EuroCompetence, Socrates Project 56544-CP-1-98-1; CIOC, NFU Project 18; mENU, e-learning Project 2002-0510/001-001; QUIS, e-learning Project 2004-3538/001-001; UnderstandIT, Leonardo Da Vinci Transfer of Innovation; and 9Conversations: Network building for self-employment of refugees. These projects demonstrate his commitment to applying technology to address real-world educational challenges across diverse contexts.

• Acquisition Linguistics
• Second Language Acquisition
• Sociolinguistics
• +۱۱ مورد دیگر

Ada Valentini is a Full Professor in Glottology and Linguistics (SSD L-LIN/01) at the University of Bergamo, Department of Languages, Literatures and Foreign Cultures. She has been a faculty member since 1997, promoted to full professor in 2017, and has taught a wide range of courses including Acquisitional Linguistics, Corpus Linguistics, and Intercultural Communication. Her academic journey began in 1987-1988, with continuous teaching engagement since 1993-1994. PhD in Linguistics, University of Pavia (1992) Graduate in Foreign Languages and Literatures, University Institute of Bergamo (1986) Her research focuses on acquisition linguistics , particularly the acquisition of Italian as a second language by speakers of Wu Chinese, Tigrinya, English, and German, grounded in a typological-functionalist framework. She has published extensively in this domain, including two monographs. Her sociolinguistic interests include immigrant languages in Italy and linguistic varieties. She also investigates information structure in the Bergamo dialect, ancient and contemporary Italian, and English, especially split sentences. Her recent publications (2021–2025) reflect a strong engagement with second language acquisition, digital processing of spoken data, femicide discourse in media, and the preservation of linguistic heritage. Themes across her work include language contact, multilingualism, and the documentation of minority and regional varieties. She has no listed scientific awards in the provided text. Prof. Valentini supervises master's theses and advises students, requiring institutional email contact for academic inquiries. She holds regular online office hours on Mondays from 8–10. She is actively involved in academic service, including thesis preparation seminars for graduating students. She leads and contributes to initiatives on linguistic heritage and digital documentation, particularly through publications and editorial work on regional Italian dialects and sociolinguistic issues.

Alessia Iuratoمشاهده پروفایل

پژوهشگر ارشد

• Chinese Linguistics
• Second Language Acquisition
• Corpus Linguistics
• +۷ مورد دیگر

Alessia Iurato is a Research Fellow and Adjunct Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice. She holds a cotutelle PhD from Ca' Foscari University and the University of Bremen, focusing on the acquisition of Chinese syntactic structures by Italian learners. Her current research is centered on the PRIN 2020 national project on Chinese resultative verbal complexes, combining corpus and experimental methods. Research Interests: Her work lies at the intersection of Chinese linguistics, second language acquisition, and corpus-based methodologies. She specializes in the acquisition of syntactic constructions such as shì...de clefts and resultative verb compounds, integrating pragmatic and grammatical analysis. Her methodological expertise includes learner corpus compilation, error and pragmatic annotation, and experimental task design. Publication Trends: Her recent publications (2023–2025) reflect a strong focus on constructing and analyzing learner corpora (e.g., BILCC), investigating specific syntactic phenomena in L2 Chinese, and evaluating pedagogical materials. The work consistently employs triangulated methodologies, combining corpus data with experimental findings to understand L2 acquisition processes. Scientific Awards: Winner of the 2022 Hawai'i International Conference on Chinese Studies (HICCS) graduate student award 3-year PhD full merit scholarship (2019–2022) 1-year MA full merit scholarship (2015–2016) Winner of the First Competition of Teaching Chinese to Speakers of Other Languages, Capital Normal University (2016) Overseas Scholarship (Merit Scholarship), Ca' Foscari University of Venice (2014) Advising and Academic Service: She has co-supervised MA theses in Chinese linguistics and language studies. Her service includes refereeing for journals like Corpus Linguistics and Linguistic Theory and Chinese as a Second Language Research , abstract reviewing for international conferences, organizing the 2025 IACL conference, serving on the editorial board of the Journal of Chinese Language Education and Evaluation , and holding an executive board position in the CASLAR association. Labs and Research Groups: She is an active member of the PRIN 2020 research project unit on Chinese resultative verbal complexes, led by Prof. Bianca Basciano. Her work is closely associated with learner corpus research initiatives and international collaborations in Chinese linguistics.

• Physiology
• Neuroscience
• Cognitive Neuroscience
• +۸ مورد دیگر

Luigi Cattaneo is an Associate Professor at the University of Trento, affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC) and the Interdepartmental Center for Medical Sciences (CISMED) . His academic career spans multiple institutions including the University of Parma and University of Verona. MD from University of Pavia (1997) Neurology specialization from University of Parma (2002) PhD in Neuroscience from University of Parma (2007) Research focuses on human brain connectivity , motor control , and cognitive neuroscience using techniques like Transcranial Magnetic Stimulation (TMS) , fMRI , and tractography . His work bridges clinical neurology with basic physiological research , particularly in sensorimotor integration and brain stimulation applications. Recent publications highlight his exploration of frontal aslant tract functionality, cortico-cortical connectivity , and motor planning mechanisms . These studies demonstrate his commitment to understanding neural bases of action selection and predictive strategies through multimodal neuroimaging and stimulation approaches. Premio SIPF (2015) for psychophysiology research Active in international collaborations with institutions in Parma, Marseille, Bologna, Grenoble, and Arizona. He serves as Academic Editor for PLOS One and reviewer for numerous high-impact neuroscience journals.

• Neuropsychology
• Cognitive Neuroscience
• Neurorehabilitation
• +۵ مورد دیگر

Costanza Papagno is Full Professor at the University of Trento's Department of Psychology and Cognitive Science, with additional affiliations at the Center for Mind/Brain Sciences (CIMeC) and Centre for Medical Sciences (CISMED). Her clinical leadership includes serving as Head of the Center for Neurocognitive Rehabilitation (CeRiN) since 2017. With dual degrees in Medicine and Neurology from Milano University and a PhD in Psychobiology, she has held research positions at Cambridge's MRC Applied Psychology Unit and visiting professorships internationally. Her research explores neuropsychological rehabilitation, subcortical recovery mechanisms, Parkinson's cognitive deficits, and neuroplasticity in brain tumors. Key investigations include auditory-verbal memory in sentence comprehension, social cognition in neurodegeneration, and neural correlates of abstract language. She maintains active collaborations in awake surgery protocols and develops clinical assessment tools. Publication analysis reveals concentrated expertise in Parkinson's neurocognition, aphasia rehabilitation, brain asymmetries, and teleneuropsychology platforms. Recent works emphasize digital health interventions, network neuroscience approaches to neurodegeneration, and refinement of intraoperative cognitive mapping techniques. Honors include multiple international grants (ESF, NATO, Erasmus), editorship of the Journal of Neuropsychology, and presidency of the Italian Neuropsychology Society. She coordinates multinational initiatives like the Signature project for social cognition assessment standards in neurocognitive disorders. Clinical innovations include pioneering awake surgery protocols at Milan's Policlinico Hospital and establishing the CeRiN neurorehabilitation center. She regularly contributes to national treatment guidelines and serves on ethics committees for neurosurgical research.

Anna Morbiatoمشاهده پروفایل

دانشیار

• Chinese Linguistics
• Syntax
• Information Structure
• +۹ مورد دیگر

Anna Morbiato is an Associate Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she teaches Chinese language and linguistics. She is a member of the Board of Directors of the Ca' Foscari School for International Education (CFSIE) and serves as Editor-in-Chief of the journal Annali di Ca’ Foscari Serie orientale . Her academic work bridges linguistics, cognitive science, and artificial intelligence. Education: PhD in Linguistics, University of Sydney (Cotutelle) PhD in Asian and African Studies, Ca' Foscari University of Venice MA in Technical and Scientific Translation, Ca' Foscari University of Venice (First Class Honours) BA in Translation and Interpretation, Ca' Foscari University of Venice (First Class Honours) Her research focuses on Chinese syntax, information structure, pragmatics, and second language acquisition, employing cognitive-functional and corpus-based methodologies. She has contributed extensively to the understanding of word order, topic structure, and anaphora in Mandarin, with applications in language teaching and AI. The recent publications of Anna Morbiato reveal a strong trend toward interdisciplinary research, particularly in human-centric AI and natural language understanding. Her work connects linguistic theory with practical applications in technology, focusing on how language encodes meaning in procedural and culinary texts. She integrates cognitive linguistics with corpus analysis and experimental data, especially in studying Italian learners of Chinese. Scientific Awards: Marie Skłodowska-Curie Actions Seal of Excellence (2018) Valedictorian, Ca’Foscari University (2018) Campus Mentis Award (2010) Chinese Bridge Competition 3rd Prize (2007) Multiple First Class Honours distinctions Anna Morbiato has supervised numerous BA and MA theses and is responsible for Chinese language instruction at her department. She has received competitive research grants from the European Union (Horizon 2020, PRIN), Australian Government (Endeavour), and the University of Sydney. Her leadership extends to organizing international conferences and serving on PhD committees and editorial boards. She is actively involved in the MUHAI (Meaning and Understanding in Human-centric AI) project, where she contributes case studies in cognitive semantics and pragmatics, and in the PRIN ACHIEVE project on Chinese verb complex acquisition. Her institutional roles include curriculum development, editorial leadership, and academic governance.

Lauro Snidaroمشاهده پروفایل

دانشیار

• Data Fusion
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Lauro Snidaro is an Associate Professor at the Università degli Studi di Udine , Department of Mathematics and Computer Science. His research focuses on Information Fusion , Data Fusion , Autonomous Vehicles , and Context-Aware AI Systems . He co-organized the 2024 International Conference on Information Fusion (FUSION 2024) in Venice and has led NATO-funded research projects (e.g., IST-165 RTG on High-level Fusion). Research highlights include the Context-Enhanced Information Fusion book (Springer, 2016) and a widely-downloaded paper on Context-based Information Fusion . He actively collaborates with industries for autonomous vehicle data fusion and defect detection systems . Teaching includes the Intelligent Multimedia Systems course, emphasizing openFrameworks and C++ for creative programming. He advises PhD candidates and research fellows in Computer Vision and Machine Learning domains. Key contributions span multi-sensor fusion for surveillance, context-aware tracking, and AI applications in crisis computing and healthcare.

• Administrative Law
• European Union Law
• Urban Law
• +۷ مورد دیگر

Antonio Cassatella is an Associate Professor of Administrative Law at the University of Trento’s Faculty of Law. He holds a PhD in Fundamental Freedoms in Constitutional, Administrative, European, and Comparative Law. His career includes roles as a researcher and professor in multiple Italian universities, including Padua, Trieste, and Bolzano. He has extensive teaching experience across disciplines like urban law, administrative process, and public policy, spanning over 20 years. Education: Graduated with honors in Law from the University of Trento (2001). PhD in Fundamental Freedoms (2006). Abilitazione scientifica nazionale for first-class professor in administrative law (2020). Research focuses on general administrative law, EU administrative law, urban planning law, and administrative procedure. He explores historical origins of administrative law and their impact on legal methodology. Key interests include administrative transparency, public-private law interactions, and intellectual property governance. Publications and Conferences: Over 30 articles and presentations on topics like judicial remedies, administrative discretion, urban governance, and ADR mechanisms. Active in international forums, including Valencia and Florence conferences, discussing EU law and urban policy. Professional Engagements: Member of editorial boards for Diritto Processuale Amministrativo and Diritto & Formazione . Served on public hiring committees for Trentino Province. Evaluated legal scholarship for ANVUR and peer-reviewed journals. Labs/Teams: Involved in interdisciplinary projects like the University of Trento’s Living Integration Law initiative, addressing migration governance and administrative justice.

Francesco Vespignaniمشاهده پروفایل

دانشیار

• Sentence Processing
• ERPs (Event-Related Potentials)
• Language Comprehension
• +۳ مورد دیگر

Francesco Vespignani is an Associate Professor at the University of Padova. His research focuses on the cognitive and neural mechanisms underlying language comprehension, particularly sentence processing, ERPs (event-related potentials), and interactions between syntax and pragmatics. He investigates how language influences visual attention, bilingualism, aging, and deafness. His work integrates psycholinguistic, ERP, and EEG methodologies. Research areas: ERPs and sentence comprehension, syntax-pragmatics interaction, language and visual attention, language in atypical populations (bilingualism, aging, deafness). Publications: Over 40 peer-reviewed articles in journals like Journal of Experimental Psychology , Brain and Language , and Discourse Processes . Recent articles highlight speaker-specific speech prediction, pragmatic leniency toward foreigners, and neural mechanisms of language processing in cochlear implant users. His work bridges cognitive psychology, neuroscience, and linguistics. Key findings include the role of novel linguistic labels in visual attention disengagement and ERP evidence of discourse expectations linked to the question under discussion. Collaborations span Italy, Germany, and the UK, focusing on bilingualism and neurocognitive language processing.

Rodolfo DELMONTEمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Text Mining
• +۳ مورد دیگر

Rodolfo Delmonte is a retired Professor at Ca' Foscari University of Venice, affiliated with the Department of Linguistics and Comparative Cultural Studies. His research focuses on computational linguistics, natural language processing, and poetry analysis. He has contributed to systems like GETARUNS and SPARSAR, which address text understanding, sentiment analysis, and language modeling. His work spans topics such as machine translation, anaphora resolution, and the application of linguistic tools to literary texts like Shakespeare's sonnets. Delmonte has also explored the intersection of speech synthesis and language learning, developing tools for automated tutoring. His publications reflect a commitment to bridging theoretical linguistics with practical computational methods, including studies on discourse relations, pragmatic processing, and semantic evaluation. Despite no listed advisees, his extensive contributions to academic conferences and workshops highlight his role in advancing computational linguistics research in Italy and globally.