Ionut Sorodoc

According to our database, Ionut Sorodoc authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision.

Philipp Christmann, Svitlana Vakulenko, Ionut Sorodoc, Bill Byrne, Adrià de Gispert

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

Challenges in including extra-linguistic context in pre-trained language models.

Ionut Sorodoc, Laura Aina, Gemma Boleda

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Controlled tasks for model analysis: Retrieving discrete information from sequences.

Ionut-Teodor Sorodoc, Gemma Boleda, Marco Baroni

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Class-Agnostic Continual Learning of Alternating Languages and Domains.

Germán Kruszewski, Ionut-Teodor Sorodoc, Tomás Mikolov

CoRR, 2020

Probing for Referential Information in Language Models.

Ionut-Teodor Sorodoc, Kristina Gulordava, Gemma Boleda

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Recurrent Instance Segmentation using Sequences of Referring Expressions.

Alba Herrera-Palacio, Carles Ventura, Carina Silberer, Ionut-Teodor Sorodoc, Gemma Boleda, Xavier Giró-i-Nieto

CoRR, 2019

Recurrent Instance Segmentation using Sequences of Referring Expressions.

Alba Maria Hererra-Palacio, Carles Ventura, Carina Silberer, Ionut-Teodor Sorodoc, Gemma Boleda, Xavier Giró-i-Nieto

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue.

Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, Gemma Boleda

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Learning quantification from images: A structured neural architecture.

Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot, Mariella Dimiccoli

Nat. Lang. Eng., 2018

AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library.

Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, Gemma Boleda

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision.

Sandro Pezzelle, Ionut-Teodor Sorodoc, Raffaella Bernardi

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Pay Attention to Those Sets! Learning Quantification from Images.

Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot, Mariella Dimiccoli, Raffaella Bernardi

CoRR, 2017

Multimodal Topic Labelling.

Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Imparare a Quantificare Guardando (Learning to Quantify by Watching).

Sandro Pezzelle, Ionut Sorodoc, Aurélie Herbelot, Raffaella Bernardi

Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), 2016

"Look, some Green Circles!": Learning to Quantify from Images.

Ionut Sorodoc, Angeliki Lazaridou, Gemma Boleda, Aurélie Herbelot, Sandro Pezzelle, Raffaella Bernardi

Proceedings of the 5th Workshop on Vision and Language, 2016

2014

Aggregation methods for efficient collocation detection.

Anca Dinu, Liviu P. Dinu, Ionut Sorodoc

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014