Towards a Reappraisal of the Linguistic Perspective in the LLM Era

titleTowards a Reappraisal of the Linguistic Perspective in the LLM Era
start_date2024/07/09
schedule09h30
onlineno
location_infoGrand Amphi
summaryCurrently, Large Language Models (LLMs) have quickly become the norm and have shown impressive results for language applications in different research domains. Various discourse-related tasks usually requiring in-depth knowledge of the world, however, seem to remain largely understudied. Focusing on tasks such as event coreference resolution, emotion detection and irony detection, I would like to discuss how the rich history of Computational Linguistics can help us in identifying knowledge gaps in current methodologies and in attempting to address these. I will touch upon the issue of dataset selection and labeling and a heavy reliance on benchmark datasets, and discuss opportunities to unify both expert knowledge and modern-day learning frameworks and architectures.
responsiblesNC