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1
How Efficiency Shapes Human Language
In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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2
When classifying grammatical role, BERT doesn't care about word order... except when it matters ...
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Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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4
When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters
In: Proceedings of the Society for Computation in Linguistics (2022)
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5
Efficient communication and the organization of the lexicon
In: OUP volume on the Mental Lexicon ; https://hal.archives-ouvertes.fr/hal-03482414 ; OUP volume on the Mental Lexicon, In press, ⟨10.31234/osf.io/4an6v⟩ (2021)
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6
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
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7
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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8
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT ...
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9
Multilingual BERT, Ergativity, and Grammatical Subjecthood ...
Papadimitriou, Isabel; Chi, Ethan A.; Futrell, Richard. - : University of Massachusetts Amherst, 2021
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10
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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11
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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12
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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13
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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14
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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15
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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16
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.471/ Abstract: In cross-lingual language models, representations for many different languages live in the same space. Here, we investigate the linguistic and non-linguistic factors affecting sentence-level alignment in cross-lingual pretrained language models for 101 languages and 5,050 language pairs. Using BERT-based LaBSE and BiLSTM-based LASER as our models, and the Bible as our corpus, we compute a task-based measure of cross-lingual alignment in the form of bitext retrieval performance, as well as four intrinsic measures of vector space alignment and isomorphism. We then examine a range of linguistic, quasi-linguistic, and training-related features as potential predictors of these alignment metrics. The results of our analyses show that word order agreement and agreement in morphological complexity are two of the strongest linguistic predictors of cross-linguality. We also note in-family training data as a stronger predictor than ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://dx.doi.org/10.48448/5bth-3135
https://underline.io/lecture/37745-a-massively-multilingual-analysis-of-cross-linguality-in-shared-embedding-space
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17
REPLICATING A FUNDAMENTAL FINDING IN PSYCHOLINGUISTICS: SYNTACTIC PRIMING ...
Mahowald, Kyle. - : Open Science Framework, 2021
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18
How (Non-)Optimal is the Lexicon? ...
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19
How (Non-)Optimal is the Lexicon?
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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20
How (Non-)Optimal is the Lexicon? ...
NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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