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Laura Aina
Laura Aina
Amazon
在 amazon.es 的电子邮件经过验证 - 首页
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Putting words in context: LSTM language models and lexical ambiguity
L Aina, K Gulordava, G Boleda
arXiv preprint arXiv:1906.05149, 2019
462019
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
192019
The language model understood the prompt was ambiguous: Probing syntactic uncertainty through generation
L Aina, T Linzen
arXiv preprint arXiv:2109.07848, 2021
172021
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
152018
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
A distributional study of negated adjectives and antonyms
L Aina, R Bernardi, R Fernández
CEUR Workshop Proceedings, 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
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
42019
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
32021
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
22017
Not logical: A distributional semantic account of negated adjectives
L Aina
Universiteit van Amsterdam, 2017
12017
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
A deep learning perspective on linguistic ambiguity
L Aina
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
Modeling word interpretation with deep language models: The interaction between expectations and lexical information
L Aina, T Brochhagen, G Boleda
Cognitive Science Society, 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
Proceedings of the 2019 Conference of the North American Chapter of the …, 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
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