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Ionut-Teodor Sorodoc
Ionut-Teodor Sorodoc
Verified email at upf.edu - Homepage
Title
Cited by
Cited by
Year
Probing for referential information in language models
IT Sorodoc, K Gulordava, G Boleda
Jurafsky D, Chai J, Schluter N, Tetreault J, editors. Proceedings of the …, 2020
382020
“Look, some green circles!”: Learning to quantify from images
I Sorodoc, A Lazaridou, G Boleda Torrent, AGG Herbelot, S Pezzelle, ...
ACL 2016 5th Workshop on Vision and Language (VL’16): Proceedings of the …, 2016
212016
Multimodal topic labelling
I Sorodoc, JH Lau, N Aletras, T Baldwin
Proceedings of the 15th Conference of the European Chapter of the …, 2017
172017
What do entity-centric models learn? insights from entity linking in multi-party dialogue
L Aina, C Silberer, M Westera, IT Sorodoc, G Boleda
arXiv preprint arXiv:1905.06649, 2019
122019
Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision
S Pezzelle, IT Sorodoc, R Bernardi
arXiv preprint arXiv:1804.05018, 2018
122018
Aggregation methods for efficient collocation detection.
A Dinu, LP Dinu, I Sorodoc
LREC, 4041-4045, 2014
112014
Learning quantification from images: A structured neural architecture
I Sorodoc, S Pezzelle, A Herbelot, M Dimiccoli, R Bernardi
Natural Language Engineering 24 (3), 363-392, 2018
92018
AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
L Aina, C Silberer, IT Sorodoc, M Westera, G Boleda
arXiv preprint arXiv:1805.05370, 2018
72018
Evaluating online continual learning with CALM
G Kruszewski, IT Sorodoc, T Mikolov
arXiv preprint arXiv:2004.03340, 2020
52020
Class-agnostic continual learning of alternating languages and domains
G Kruszewski, IT Sorodoc, T Mikolov
arXiv preprint arXiv:2004.03340, 2020
32020
Recurrent Instance Segmentation using Sequences of Referring Expressions
A Herrera-Palacio, C Ventura, C Silberer, IT Sorodoc, G Boleda, ...
arXiv preprint arXiv:1911.02103, 2019
22019
Learning to identify and encode entities with deep learning models
IT Sorodoc
Universitat Pompeu Fabra, 2022
2022
Challenges in including extra-linguistic context in pre-trained language models
IT Sorodoc, L Aina, G Boleda
Tafreshi S, Sedoc J, Rogers A, Drozd A, Rumshisky A, Akula A, editors. The …, 2022
2022
Controlled tasks for model analysis: Retrieving discrete information from sequences
I Sorodoc, G Boleda, M Baroni
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting …, 2021
2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
I Sorodoc, M Sushil, E Takmaz, E Agirre
Proceedings of the 16th Conference of the European Chapter of the …, 2021
2021
Task-agnostic Continual Learning via Growing Long-Term Memory Networks
G Kruszewski, IT Sorodoc, T Mikolov
2019
What do entity-centric models learn? Insights from entity linking in multi-party dialogue
G Boleda, L Aina, C Silberer, IT Sorodoc, M Westera
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
2019
Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision
IT Sorodoc, S Pezzelle, R Bernardi
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
2018
Pay attention to those sets! Learning quantification from images
I Sorodoc, S Pezzelle, A Herbelot, M Dimiccoli, R Bernardi
arXiv preprint arXiv:1704.02923, 2017
2017
Imparare a Quantificare Guardando (Learning to Quantify by Watching).
S Pezzelle, I Sorodoc, A Herbelot, R Bernardi
CLiC-it/EVALITA, 2016
2016
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Articles 1–20