archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Ομιλία Prof. Agata Savary 26/01/2024 - αίθουσα Zampolli

Dates
2024-01-26 13:00 - 14:30
Venue
Zampolli

 

Εκ μέρους της κ. Γιούλη σας προωθούμε την ακόλουθη ανακοίνωση.

 

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From: Paraskevi Giouli <This email address is being protected from spambots. You need JavaScript enabled to view it.>

Date: Wed, Jan 24, 2024 at 9:06 AM

Subject: Ομιλία Prof. Agata Savary 26/01/2024 - αίθουσα Zampolli

To: all-ILSP <This email address is being protected from spambots. You need JavaScript enabled to view it.>

 

Αγαπητοί Συνάδελφοι,

 

Με χαρά σας προσκαλούμε στην ομιλία της  Prof. Agata Savary,  καθηγήτριας στο Παν/μιο Paris-Saclay στη Γαλλία, την Παρασκευή 26/01/2024 στις 13:00 στην αίθουσα Zampolli (Κτήριο Αρτέμιδος 6 & Επιδαύρου). Ακολουθούν σύντομη περιγραφή της παρουσίασης καθώς επίσης και σύντομο βιογραφικό της ομιλήτριας. 

 

Title: Automatic identification of multiword expressions - recent progress and perspectives

 

Abstract:

Multiword expressions, like "all of a sudden", a "hot dog", or to "pull one's leg", are combinations of words which exhibit idiosyncratic behavior on the lexical, morphological, syntactic, semantic, pragmatic and/or statistical levels. Their semantic non-compositionality is their most outstanding feature and can pose severe challenges in semantically-oriented NLP tasks.

One of the ways to tackle this challenge is to identify MWEs in running text before applying dedicated treatment to them.

MWE identification has been the object of many efforts, notably within the PARSEME shared tasks on automatic identification of verbal MWEs. I will summarize major findings from these shared tasks and highlight the particular properties of MWEs which make their identification particularly challenging, even with deep learning methods.

I will also touch upon the latest challenges and opportunities from MWE processing applied to more generic NLP tasks such as neural machine translation or interpretation of neural models.

 

Short CV:

Agata Savary is a professor of computer science at the University of Paris-Saclay in France. She graduated from the University of Warsaw (Poland) in 1995 and holds a PhD from the University of Paris Est Marne La Vallée (France). Her main research interest is modelling and processing of idiomaticity, in particular in cross-linguistically unified ways. She served as the chair of PARSEME, a COST action of Parsing and Multiword Expressions.  She was an elected representative of the Multiword Expressions section of SIGLEX (Special Interest Group on the Lexicon) and a co-founder and co-editor-in-chief of the PMWE book series (Phraseology and Multiword Expressions).

Currently she chairs another COST action, UniDive (Universality Diversity and Idiosyncrasy in Language Technology).

 

Ακολουθεί ο σύνδεσμος για να παρακολουθήσετε την ομιλία μέσω MS Teams.

 

Ευχαριστώ,

 

Βούλα Γιούλη 

 

 

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Voula Giouli, PhD

Computational Linguist

Research Associate

Institute for Language & Speech Processing, Athena RIC

Artemidos 6 & Epidavrou

15125, Maroussi, Greece

Tel.: +2106875448 (direct), 2106875300 (operator)

http://www.ilsp.gr

Skype: vgiouli1




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Vision

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

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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).

 
 

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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.

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