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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aina, Laura; Linzen, Tal. - : Underline Science Inc., 2021 BASE Show details 2 Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aina, Laura; Boleda, Gemma. - : Underline Science Inc., 2021 BASE Show details 3 Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ... Aina, Laura; Liao, Xixian; Boleda, Gemma. - : arXiv, 2021 BASE Show details 4 Similarity is closeness: using distributional semantic spaces to model similarity in visual and linguistic metaphors Bolognesi, Marianna; Aina, Laura In: Corpus linguistics and linguistic theory. - Berlin ; New York : Mouton de Gruyter 15 (2019) 1, 101-137 BLLDB Show details 5 What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue ... Aina, Laura; Silberer, Carina; Westera, Matthijs. - : arXiv, 2019 BASE Show details 6 Putting words in context: LSTM language models and lexical ambiguity ... Aina, Laura; Gulordava, Kristina; Boleda, Gemma. - : arXiv, 2019 BASE Show details 7 Negated adjectives and antonyms in distributional semantics: not similar? Aina, Laura; Bernardi, Raffaella; Fernández, Raquel. - : Associazione Italiana di Linguistica Computazionale BASE Show details 8 Putting words in context: LSTM language models and lexical ambiguity Boleda, Gemma; Gulordava, Kristina; Aina, Laura. - : ACL (Association for Computational Linguistics) Abstract: Comunicació presentada al 57th Annual Meeting of the Association for Computational Linguistic (ACL 2019), celebrat els dies 28 de juliol a 2 d'agost de 2019 a Florència, Itàlia. ; In neural network models of language, words are commonly represented using context invariant representations (word embeddings) which are then put in context in the hidden layers. Since words are often ambiguous, representing the contextually relevant information is not trivial. We investigate how an LSTM language model deals with lexical ambiguity in English, designing a method to probe its hidden representations for lexical and contextual information about words. We find that both types of information are represented to a large extent, but also that there is room for improvement for contextual information. ; This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715154), and from the Ramón y Cajal programme (grant RYC-2015-18907). Keyword: Language models; Lexical ambiguity; Neural networks URL: https://doi.org/10.18653/v1/P19-1324 http://hdl.handle.net/10230/42372 BASE Hide details 9 Modeling word interpretation with deep language models: the interaction between expectations and lexical information Aina, Laura; Brochhagen, Thomas; Boleda, Gemma. - : Cognitive Science Society BASE Show details 10 A distributional study of negated adjectives and antonyms Fernández, Raquel; Bernardi, Raffaella; Aina, Laura. - : CEUR Workshop Proceedings BASE Show details 11 AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library Westera, Matthijs; Silberer, Carina; Aina, Laura. - : ACL (Association for Computational Linguistics) BASE Show details 12 How to represent a word and predict it, too: improving tied architectures for language modelling Gulordava, Kristina; Aina, Laura; Boleda, Gemma. - : ACL (Association for Computational Linguistics) BASE Show details 13 How to represent a word and predict it, too: improving tied architectures for language modelling Boleda, Gemma; Aina, Laura; Gulordava, Kristina. - : ACL (Association for Computational Linguistics) BASE Show details 14 What do entity-centric models learn? Insights from entity linking in multi-party dialogue Westera, Matthijs; Silberer, Carina; Aina, Laura. - : ACL (Association for Computational Linguistics) BASE Show details

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