Ionut-Teodor Sorodoc

About me

Doctoral student in the The AMORE project, Pompeu Fabra University, working at the intersection between Computational Linguistics, Computer Vision and Artificial Intelligence. I'm a proud member of the The Computational Linguistics and Linguistic Theory (COLT) group led by Gemma Boleda.

In 2017, I graduated from the Erasmus Mundus European Masters Program in Language and Communication Technologies (LCT), at CIMeC, University of Trento and University of Malta, under the supervision of Raffaella Bernardi.

April 2022: I defended my Doctoral thesis: Learning to identify and encode entities with deep learning models!
April 2022: Our paper Challenges in including extra-linguistic context in pre-trained language models has been accepted at Workshop on Insights from Negative Results in NLP, colocated with ACL 2022.
November 2021: I presented a poster at BlackboxNLP 2021
November 2021: I joined Amazon Alexa as an applied science intern under the supervision of Marco del Tredici.
April 2021: We organized the EACL SRW Workshop.
May 2020: We organized the GeCKo symposium
April 2020: I am a member of the student board of EACL
March 2020: Our paper Probing for referential information in language models has been accepted at ACL 2020 in Seattle!
February 2019: We organized the COLT kick-off workshop
December 2018: I presented a poster at Deep Learning Barcelona Symposium
June 2018: I joined Facebook Artificial Intelligence Research as a research intern under the supervision of Tomas Mikolov
June 2018: Our paper Comparatives, Quantifiers, Proportions ... has been presented at NAACL-HLT2018 in New Orleans!
October 2017: I joined Gemma Boleda's group at COLT as a PhD student!
December 2016: I defended my Masters thesis: Learning to quantify from images!