Sorodoc, I.*, Aina, L., Boleda, G. (2022).
(to appear). Challenges in including extra-linguistic context in pre-trained language models, Workshop on Insights from Negative Results in NLP 2020.
2021
Sorodoc, I.*, Boleda, G., Baroni, M. (2021).
(to appear). Controlled tasks for model analysis: Retrieving discrete information from sequences, BlackboxNLP 2021. [paper][poster]
2020
Sorodoc, I.*, Gulordava, K., Boleda, G. (2020).
(to appear). Probing for referential information in language models, ACL 2020. [paper][slides]
2019
Herrera, A., Ventura, C., Silberer, C., Sorodoc, I., Boleda, G., Giro, X. (2019). Recurrent Instance Segmentation using Sequences of Referring Expressions, ViGiL Workshop 2019. [paper]
Aina, L.*, Silberer, C.*, Sorodoc, I.*, Westera, M.*, Boleda, G. (2019). What do entity-centric models learn? Insights from entity linking in multi-party dialogue, NAACL 2019. [paper][data&code]
2018
Aina, L.*, Silberer, C.*, Sorodoc, I.*, Westera, M.*, Boleda, G. (2018).
(to appear). AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library, SemEval-2018. [paper][data&code]
Pezzelle, S., Sorodoc, I., Bernardi, R. (2018). Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision, NAACL-HLT2018. [paper][bib][data&code][slides][poster][arxiv]
Sorodoc, I., Pezzelle, S., Dimiccoli, M., Herbelot, A., Bernardi, R. (2018). Learning Quantification from Images: A Structured Neural Architecture. JNLE2018. [paper][bib] [data] [code] [arxiv]
Pezzelle, S., Sorodoc, I., Herbelot, A., Bernardi, R. (2016). Imparare a quantificare guardando, CLIC-it2016. [paper][slides]
Sorodoc, I., Lazaridou, A., Boleda, G., Herbelot, A., Pezzelle, S., Bernardi, R. (2016). 'Look, some green circles!': Learning to quantify from images, VL2016 at ACL2016. [paper][poster][slides]
2014
Sorodoc, I. (2014) Aggregation methods for efficient collocation detection, LREC 2014 [paper]