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).

 
 

NEWS

 
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Archimedes Workshop on Dialect NLP

Upcoming workshop on Dialect NLP on “Standardization and Variation for Dialect Varieties with Universal Dependencies as an Application Framework” coming up. We are excited to announce that the Dialect NLP team at Archimedes, Athena Research Center, Greece, is organizing a workshop in collaboration with the MaiNLP Research Lab at Ludwig Maximilian University (LMU) of Munich. Workshop details:Workshop info: UniDive WG1 Workshop on Dialect Varieties Dates: September 5–6, 2025 Location: LMU Munich Funded by: UniDive – Universality, Diversity and Idiosyncrasy in Language Technology Archimedes: Dialect NLP and Linguistic Diversity At Archimedes, our Dialect NLP team focuses on the intersection of AI and linguistic diversity, with an emphasis on under-resourced and endangered language varieties, both Greek and non-Greek. Our research includes:   • Dialectal speech-to-text and morphosyntactic modeling  • Dialect-to-standard normalization for Greek varieties   • Intra-dialectal variation analysis   • A critical perspective on annotation frameworks like Universal Dependencies (UD), especially when applied to non-standard or endangered varieties Our resources cover:   • Standard Modern Greek: GUD Treebank   • Greek dialects: Cretan, Messinian, Lesbian, Cypriot, Griko/Greko, Aperathitika   • Non-Greek varieties spoken in Greece: Pomak, Arvanitika All datasets, models, and tools we develop are freely available to the research community. About Our Collaborators at MaiNLP (LMU Munich) The MaiNLP Research Lab at Ludwig-Maximilians-Universität Munich conducts research in Natural Language Processing, combining computer science, linguistics, and cognitive science. Their focus is on human-facing NLP: developing models that are robust to variation, fair, and reflective of human annotation diversity. MaiNLP is also leading the ERC Consolidator Grant project DIALECT, which explores natural language understanding for non-standard languages and dialects—making them an ideal partner in our shared mission to design NLP systems that work for all language varieties. Workshop Goals This workshop will:   • Document current practices in dialectal UD treebanks (e.g., orthographic/phonological variation, lemmatization, interference)   • Identify gaps in annotation and processing across dialects   • Develop shared methodologies for handling variation, improving consistency, and enabling knowledge transfer   • Foster community engagement with researchers working on under-resourced dialects and less-studied language families   • Ground discussions in theoretical insights from Plank (2016): What to do about non-standard language in NLP It is an opportunity to reflect on how annotation frameworks and tools serve—or fall short of serving— dialectal and endangered varieties, and how AI can support documentation, analysis, and preservation of linguistic diversity. We look forward to sharing our findings and engaging with colleagues working on inclusive, culturally informed, and variation-aware NLP. Stay tuned for more updates!

Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.

Archimedes Reaches Milestone of 200 Publications

Archimedes Reaches Milestone of 200 Publications

Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.

 
 

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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