| Putting words in context: LSTM language models and lexical ambiguity L Aina, K Gulordava, G Boleda arXiv preprint arXiv:1906.05149, 2019 | 47 | 2019 |
| The language model understood the prompt was ambiguous: Probing syntactic uncertainty through generation L Aina, T Linzen arXiv preprint arXiv:2109.07848, 2021 | 21 | 2021 |
| Similarity is closeness: Using distributional semantic spaces to model similarity in visual and linguistic metaphors M Bolognesi, L Aina Corpus Linguistics and Linguistic Theory 15 (1), 101-137, 2019 | 21 | 2019 |
| How to represent a word and predict it, too: Improving tied architectures for language modelling K Gulordava, L Aina, G Boleda Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 15 | 2018 |
| 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 | 12 | 2019 |
| A distributional study of negated adjectives and antonyms L Aina, R Bernardi, R Fernández CEUR Workshop Proceedings 2253, 2018 | 9 | 2018 |
| Negated Adjectives and Antonyms in Distributional Semantics: not similar? L Aina, R Bernardi, R Fernández IJCoL. Italian Journal of Computational Linguistics 5 (5-1), 57-71, 2019 | 8 | 2019 |
| Factual confidence of LLMs: On reliability and robustness of current estimators M Mahaut, L Aina, P Czarnowska, M Hardalov, T Müller, L Màrquez arXiv preprint arXiv:2406.13415, 2024 | 6 | 2024 |
| 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 | 6 | 2018 |
| Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution L Aina, X Liao, G Boleda, M Westera arXiv preprint arXiv:2109.13105, 2021 | 4 | 2021 |
| Referring expressions and communicative success in task-oriented dialogues L Aina, N Philippova, V Vogelmann, R Fernández Proceedings of the 21st Workshop on the Semantics and Pragmatics of Dialogue …, 2017 | 2 | 2017 |
| Not logical: A distributional semantic account of negated adjectives L Aina Universiteit van Amsterdam, 2017 | 1 | 2017 |
| Performance-efficiency trade-offs in adapting language models to text classification tasks L Aina, N Voskarides, R Blanco arXiv preprint arXiv:2210.12022, 2022 | | 2022 |
| 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 |
| A deep learning perspective on linguistic ambiguity L Aina Universitat Pompeu Fabra, 2022 | | 2022 |
| Modeling word interpretation with deep language models: The interaction between expectations and lexical information. L Aina, T Brochhagen, G Boleda CogSci, 2020 | | 2020 |
| What do entity-centric models learn? Insights from entity linking in multi-party dialogue G Boleda, L Aina, C Silberer, IT Sorodoc, M Westera ACL (Association for Computational Linguistics), 2019 | | 2019 |
| 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 |
| Similarity is Closeness: Using distributional semantic spaces to model similarity in visual and linguistic metaphors L Aina, M Bolognesi www. metaphorlab. org 2015 (1), 3, 2016 | | 2016 |
