archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Seminar Series] Uncertainty in NLP: Quantification, interpretation, evaluation and beyond

Dates
2024-07-03 11:00 - 13:00
Venue
Artemidos 1 - Amphitheater

 

Title: Uncertainty in NLP: Quantification, interpretation, evaluation and beyond.

Presenter: Prof Chrysoula (Chryssa) Zerva (Instituto Superior Tecnico, Portugal)

Screenshot 2024 07 03 at 11am
Abstract: As the popularity, availability (and size) of language models keep increasing, so do their applications to different tasks, rendering them ubiquitous in modern society. This, in turn, brings forward the question of reliability. We know models don’t always “know what they don’t know” and may end up generating seemingly convincing answers that are entirely wrong. Hence, being able to quantify the uncertainty over their predictions is a key step in the path towards the reliability of language models.  
 
This talk will discuss the challenges of uncertainty estimation for natural language processing, emphasising aspects such as multiple sources of uncertainty and limited access to the model parameters (black box models) as well as aspects of interpretation and evaluation. I will focus on generation and evaluation tasks, using machine translation as the main paradigm, and discuss how the conformal prediction framework can be leveraged to provide meaningful confidence intervals with statistical guarantees, while also allowing us to calibrate our confidence to obtain more interpretable and fair uncertainty representations.  

Bio: Dr. Chrysoula Zerva is an Assistant Professor in Artificial Intelligence at the Instituto Superior Técnico in Lisbon, Portugal and a researcher at the Lisbon branch of the Instituto de Telecomunicações. She is a member of the ELLIS network as well as a member of LUMLIS, the Lisbon ELLIS unit.  
 
Dr. Chrysoula Zerva obtained her PhD in 2019 from the University of Manchester working on “Automated identification of textual uncertainty” under the supervision of Prof. Sophia Ananiadou. She was subsequently awarded the EPSRC doctoral prize fellowship to work on (mis)information propagation in the health and science domains. In 2021, she joined the Instituto de Telecomunicações in Lisbon as a post-doc researcher for the DeepSPIN project led by Prof. André Martins, focussing on uncertainty quantification, machine translation and quality estimation.  
 
She is co-PI in the Centre of Responsible AI, a PRR-funded initiative aiming to promote AI technology that is trustworthy, privacy-preserving, sustainable and fair, contributing towards a more equal society. She is also participating in the UTTER project, which aims to advance transcription and translation for extended reality models, where she leads the work related to Adaptable and context-aware models.  Overall, her research interests lie in the areas of machine learning (ML) and natural language processing (NLP). In more detail, she is interested in topics of uncertainty (both in models and data), fairness, contextualization and explainability and is keen on exploring multilingual and multimodal setups along the aforementioned directions. 
 

 

________________________________________________________________________________
Microsoft Teams Need help?
Meeting ID: 332 690 580 834
Passcode: VWdWex
For organizers: Meeting options
 
 
________________________________________________________________________________
 
 

Vision

To position Greece as a leading player in AI and Data Science

image
image

Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

30 September 2025

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

29 September 2025

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

25 September 2025

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

More news items here
 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)