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UID:0-303@lisn.upsaclay.fr
DTSTART;TZID=Europe/Paris:20250917T140000
DTEND;TZID=Europe/Paris:20250917T140000
DTSTAMP:20250912T082107Z
URL:https://www.lisn.upsaclay.fr/evenements/developing-the-framed-multi30k
 -fm30k-multimodal-multilingual-dataset/
SUMMARY:Developing the Framed Multi30k (FM30k) multimodal-multilingual data
 set 1/2
DESCRIPTION:Abstract\nThis talk will present Framed Multi30K (FM30K)\, a no
 vel frame-based Brazilian Portuguese multimodal-multilingual dataset (Viri
 diano et al.\, 2024) which i) extends the Multi30K dataset (Elliott et al.
 \, 2016) with 158\,915 original Brazilian Portuguese descriptions\, and 31
 \,104 Brazilian Portuguese translations from original English descriptions
 \; ii) adds 4\,577\,122 frame and frame element labels to the 158\,915 Eng
 lish descriptions and to the ones created for Brazilian Portuguese\; and (
 iii) extends the Flickr30k Entities dataset (Plummer et al.\, 2015) with 1
 69\,560 frames and Frame Elements correlations with the existing phrase-to
 -region correlations. The dataset adds image annotation within FrameNet\, 
 thus departing from a three-decade tradition of text-only annotation\, and
  augments Flick30k by adding FrameNet Labels to Flick30k entities. The dat
 aset also increases the representation of Brazilian Portuguese in NLP and 
 constitutes a rich resource for exploring multimodal and multilingual pers
 pectivism. The talk will briefly present upcoming work with Framed Multi30
 K (FM30K) regarding MWEs annotation of both the original and the translate
 d captions.\nShort Bio\n Adriana S. Pagano is Full Professor in Applied Li
 nguistics at Universidade Federal de Minas Gerais\, Brazil. She is a resea
 rch fellow of CNPq (National Council for Scientific and Technological Deve
 lopment\, Ministry of Science and Technology\, Brazil) and FAPEMIG (Resear
 ch Foundation of the State of Minas Gerais\, Brazil). Her research interes
 ts include (i) language modelling from the perspective of systemic-functio
 nal linguistics\; (ii) quantitative approaches to translation and multilin
 gual textual production\; and (iii) development of corpora and other resou
 rces for Natural Language Processing. She currently coordinates the projec
 t Algorithms for Fair Representation: Debiasing Large Language Models with
  Culturally-Diverse Datasets\, funded by the Worldwide Universities Networ
 k (WUN RDF 2024)\, a joint project between UFMG\, the University of Albert
 a\, the University of Exeter\, Mahidol University and Makerere University.
  She also coordinates the project Multimodal and Multilingual Perspectivis
 ation for AI-Responsible Resources and Applications\, funded by MCTI/CNPQ
   International Cooperation Projects (2025-2026)\, and the project Genera
 tive AI applied to Maternal and Child Health\, funded by UFMG's Centre for
  Innovation in Artificial Intelligence for Health (CI-IA Saúde). She part
 icipates in academic cooperation and research exchange agreements with Uni
 versità di Torino (Italy)\, Univerzita Karlova (Czech Republic)\, Copenha
 gen Business School (Denmark)\, Universidad Autonoma de Barcelona (Spain)\
 , University of Sydney (Australia)\, University of Southampton (United Kin
 gdom)\, University of Ghana (Ghana) and Macau Polytechnic University (Maca
 u). She is a researcher at Reinventa - Research and Innovation Network for
  Visual and Textual Analysis of Multimodal Objects (RED-00106-21) and is a
  member of the teams working on the projects Responsible and ethical appli
 cations of Artificial Intelligence in Public Health: AI-empowered Child an
 d Maternal Health (Worldwide Universities Network RDF 2023) and Developmen
 t and evaluation of an intelligent system for generating guidelines for sa
 fe prescription and accessible medication adapted to different cultural co
 ntexts (CNPq/Bill &amp\; Melinda Gates Foundation). ORCID 0000-0002-3150-3
 503
CATEGORIES:Séminaires
LOCATION:LISN Site Belvédère\, Rue du Belvédère  Campus universitaire b
 ât 507 91405 Orsay\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rue du Belvédère  Campus 
 universitaire bât 507 91405 Orsay\, France;X-APPLE-RADIUS=100;X-TITLE=LIS
 N Site Belvédère:geo:0,0
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DTSTART:20250330T030000
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