Donnerstag, 21. November 2024, 16:45 - 18:15 iCal
Invited Talk: Dagmar Gromann
Embodiment of Language and Neural Language Models
Hörsaal 33 (HS) im Hauptgebäude der Universität Wien
Universitätsring 1, 1010 Wien
Vortrag
Abstract: Cognitive linguistics has provided compelling evidence that semantic structure in natural language reflects conceptual structure that arises from our embodied experience in the world. Yet, Large Language Models can handle sophisticated natural language understanding and generation tasks being solely trained on text, that is, their representations are not grounded in embodied, sensorimotor experiences. This raises the question on how their understanding of semantic meaning differs from that of human beings and in how far language provides access to physically grounded cognitive structures. For instance, conceptual metaphors that project knowledge structures from the physical world to an abstract domain are omnipresent in natural language. Within the context of embodied cognition, this talk investigates the ability of neural language models to explicate metaphorical projection that is believed to ground natural language.
Bio: Dagmar Gromann (http://dagmargromann.com/) is an Associate Professor at the Centre for Translation Studies of the University of Vienna. Prior to that she worked as a post-doc at IIIA-CSIC in Barcelona and TU Dresden. Her research focuses on neural information and knowledge extraction, with a particular interest in domain-specific terminology and cognitive structures, such as conceptual metaphors and image schemas. Additionally, she is interested in the socio-technical implications of language technology, such as gender-fair machine translation. She is on the editorial board of the Semantic Web and Neurosymbolic Artificial Intelligence journal as well as the Journal of Applied Ontologies. She has also spearheaded the development of the joint master's program Multilingual Technologies with the FH Campus Wien, which strongly focuses on computational linguistics.
Veranstalter
Lecture series: Machines that understand? Large Language Models and Artificial Intelligence
Kontakt
Lukas Thoma
Universität Wien
Forschungsgruppe Data Mining and Machine Learning
+43-1-4277-79501
lukas.thoma@univie.ac.at
Erstellt am Donnerstag, 24. Oktober 2024, 16:19
Letzte Änderung am Dienstag, 29. Oktober 2024, 08:58