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1
Understanding the effects of negative (and positive) pointwise mutual information on word vectors
Salle, A.; Villavicencio, A.. - : Taylor & Francis, 2022
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2
Improving tokenisation by alternative treatment of spaces
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3
Assessing idiomaticity representations in vector models with a noun compound dataset labeled at type and token levels
Garcia, M.; Kramer Vieira, T.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2021
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4
Probing for idiomaticity in vector space models
Garcia, M.; Vieira, T.K.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2021
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5
AStitchInLanguageModels : dataset and methods for the exploration of idiomaticity in pre-trained language models
Tayyar Madabushi, H.; Gow-Smith, E.; Scarton, C.. - : Association for Computational Linguistics, 2021
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6
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending cognitively inspired features with transformer-based language models for predicting eye tracking patterns
Vickers, P.; Wainwright, R.; Tayyar Madabushi, H.. - : Association for Computational Linguistics (ACL), 2021
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7
Investigating language impact in bilingual approaches for computational language documentation
Boito, M.Z.; Villavicencio, A.; Besacier, L.. - : Special Interest Group: Under-resourced Languages (SIGUL), 2020
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8
Unsupervised compositionality prediction of nominal compounds
Cordeiro, S.; Villavicencio, A.; Idiart, M.. - : MIT Press - Journals, 2019
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9
A dual-attention hierarchical recurrent neural network for dialogue act classification
Li, R.; Lin, C.; Collinson, M.. - : Association for Computational Linguistics (ACL), 2019
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10
When the whole is greater than the sum of its parts : multiword expressions and idiomaticity
Villavicencio, A.. - : Association for Computational Linguistics, 2019
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11
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
Bansal, M.; Villavicencio, A.. - : Association for Computational Linguistics (ACL), 2019
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12
Discovering multiword expressions
Villavicencio, A.; Idiart, M.. - : Cambridge University Press (CUP), 2019
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13
Empirical evaluation of sequence-to-sequence models for word discovery in low-resource settings
Boito, M.Z.; Villavicencio, A.; Besacier, L.. - : International Speech Communication Association (ISCA), 2019
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14
Unsupervised word segmentation from speech with attention
Godard, P.; Boito, M.Z.; Ondel, L.. - : ISCA, 2018
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15
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
Paula, F.; Wilkens, R.; Idiart, M.. - : Association for Computational Linguistics, 2018
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16
A corpus study of verbal multiword expressions in Brazilian Portuguese
Ramisch, C.; Ramisch, R.; Zilio, L.. - : Springer International Publishing, 2018
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17
Unwritten languages demand attention too! Word discovery with encoder-decoder models
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18
Restricted recurrent neural tensor networks: Exploiting word frequency and compositionality
Salle, A.; Villavicencio, A.. - : Association for Computational Linguistics, 2018
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19
UFRGS&LIF at SemEval-2016 task 10: Rule-based MWE identification and predominant-supersense tagging
Cordeiro, S.R.; Ramisch, C.; Villavicencio, A.. - : Association for Computational Linguistics, 2016
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20
How naked is the naked truth? A multilingual lexicon of nominal compound compositionality
Villavicencio, A.; Wilkens, R.; Ramisch, C.. - : Association for Computational Linguistics, 2016
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