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Event Knowledge in Textual and Multimodal Large Language Models

10 October 2023, 1:00 pm–2:00 pm

wordcloud from CoLing lab, Pisa

Experimental Psychology Seminar : Event Knowledge in Textual and Multimodal Large Language Models, Alessandro Lenci

Event Information

Open to

All

Organiser

Antonietta Esposito

Location

305BW
26 Bedford Way
London
WC1H 0DG

The ability of Large Language Models (LLMs) to achieve impressive performances in natural language processing tasks derives from the large amounts of knowledge they recover from distributional statistics in huge textual corpora. However, the precise type, breadth and reliability of this knowledge is still an open issue. In this talk, I will present ongoing research that aims at testing the knowledge of events and their participants in LLMs. Besides textual ones, multimodal LLMs are also investigated, to estimate the contribution of the knowledge extracted from images

Host: Gabriella Vigliocco
Venue: room 305BW (26 Bedford Way). 

You can also join the talk via the zoom link below:
https://ucl.zoom.us/j/97789056031?pwd=TVU3aEw4cFpLcnRMV1VGN0p5Wm91UT09
Meeting ID: 977 8905 6031
Passcode: 511240

About the Speaker

Alessandro Lenci, PhD

Professor in Linguistics, director of the Computational Linguistics Laboratory (CoLingLab) at University of Pisa

Alessandro Lenci, PhD, is Full Professor in Linguistics at the University of Pisa, and the director of the Computational Linguistics Laboratory (CoLingLab: http://colinglab.humnet.unipi.it/) at the Dept. of Philology, Literature, and Linguistics. He has extensively published on Natural Language Processing (NLP) and cognitive science. His main research areas are distributional semantics and its applications in linguistic and cognitive research, computational lexical semantics, computational models of verb argument structure, tools and resources for NLP. In 2020, he received the “10 year Test-of-Time-Award” by the Association for Computational Linguistics. His last main effort is the book Distributional Semantics co-authored with Magnus Sahlgren and published by Cambridge University Press in the series Studies in Natural Language Processing

More about Alessandro Lenci, PhD

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