Follow
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
192020
“Look, some green circles!”: Learning to quantify from images
I Sorodoc, A Lazaridou, G Boleda, A Herbelot, S Pezzelle, R Bernardi
Proceedings of the 5th Workshop on Vision and Language, 75-79, 2016
192016
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
Multimodal topic labelling
I Sorodoc, JH Lau, N Aletras, T Baldwin
Proceedings of the 15th Conference of the European Chapter of the …, 2017
122017
Aggregation methods for efficient collocation detection.
A Dinu, LP Dinu, I Sorodoc
LREC, 4041-4045, 2014
122014
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
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
72019
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
62018
Evaluating online continual learning with CALM
G Kruszewski, IT Sorodoc, T Mikolov
arXiv preprint arXiv:2004.03340, 2020
42020
Class-agnostic continual learning of alternating languages and domains
G Kruszewski, IT Sorodoc, T Mikolov
22020
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
Challenges in including extra-linguistic context in pre-trained language models
I Sorodoc, L Aina, G Boleda
Proceedings of the Third Workshop on Insights from Negative Results in NLP …, 2022
2022
Learning to identify and encode entities with deep learning models
IT Sorodoc
Universitat Pompeu Fabra, 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
AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
G Boleda, L Aina, C Silberer, IT Sorodoc, M Westera
Proceedings of the 12th International Workshop on Semantic Evaluation …, 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
The system can't perform the operation now. Try again later.
Articles 1–20